Ronald van Loon

3 Reasons Why You Should Become A Business Analyst In 2022
Learn, Meet, Succeed with Tech
June 29, 2022

The digital economy is transforming businesses at a rapid pace. In order to remain relevant and thrive in this new environment, companies need to become more agile and adopt new ways of working faster than ever before. This is why the role of the business analyst has become so important. Business analysts bring structure and insight to organizations by analyzing data from qualitative and quantitative sources to provide recommendations for new or revised strategies that reduce risk, increase efficiency, and grow the business. Business analysts are professionals who use their analytical skills to meet the needs of businesses by combining their knowledge of both technical processes and business structures into a strategy that will help companies succeed. In this blog post, you will learn more about what it takes to become a business analyst in 2022.

Improving Complex Processes Using The Right Software Tools
Learn, Meet, Succeed with Tech
June 07, 2022

Organizations struggle to effectively manage their workflows and operations in real-time, relying on manual processes and a multitude of applications and technologies. Business systems and data are disparate, increasing workflow complexities.

Why Data Maturity Matters: Accelerating Innovation, Productivity and Wallet share
Ronald Van Loon
January 10, 2022

Ronald van Loon, Top Global AI & Data Science Influencer, Splunk Partner and CEO at Intelligent World; Prof. Sally Eaves, Award-winning International keynote speaker, author and influencer & Mark Woods, Chief Technical Advisor at Splunk talk about Why Data Maturity matters for Accelerating Innovation, Productivity and Wallet share

Build a Profitable and Sustainable Business With Technology
Learn, Meet, Succeed with Tech
December 28, 2021

Sustainability is one of the most important issues of our time, linking businesses, regulatory environments, and society together in an effort to make a positive impact on environmental sustainability goals.

Why You Should Become A Business Analyst in 2022
LinkedIn
December 23, 2021

If you don’t know by now, data is empowering businesses, including the amazing technological innovations that we see around us everyday.

As the world becomes more digital, and organizations become more technology-driven, business and technology teams need to work together to create new products and services.

14 Things You Need to Know to Become a Machine Learning or AI Engineer
LinkedIn
December 20, 2021

Becoming a machine learning or AI engineer can be a complex field of study to navigate.

Typical responsibilities of a machine learning or AI engineer include:

Building AI models from the ground up and understanding model results.
Developing a data ingestion and data transformation infrastructure.
Automating infrastructure.
Converting machine learning models into application program interfaces (APIs).

SupplyChain Disruptions: How AI Can Help
Ronald Van Loon
December 20, 2021

SupplyChain Disruptions: How AI Can Help

Become a Data Scientist: 8 Things You Need to Know
Learn, Meet, Succeed with Tech
December 17, 2021

Data science careers are very lucrative and present numerous opportunities for people who are interested in data and artificial intelligence. Data science is a field of study with a high annual salary ($95K - $165K) that will bring people job security for years to come due to its high demand across numerous industries.

Navigating Supply Chain Challenges with Industry 4.0
LinkedIn
November 16, 2021

Supply chain and manufacturing environments are evolving rapidly in the face of industry 4.0 advancements and the continuation of the COVID-19 pandemic.

Organizations across industries are trying to navigate this challenging landscape and implement technologies, processes, and operations that help them connect all the different components that make up their business.

What is R-Score & Why Your Organization Needs to Understand It
LinkedIn
September 22, 2021

Former head of U.S. Cybersecurity, Chris Krebs, recently cautioned that digital experts are fighting a “pandemic of a different variety” as ransomware attacks across the country increase. Ransomware attacks were up 150% in 2020 versus the previous year, with the amount paid by victims up 300%.

Managing the Transformation to Optimize Operations with Digital Processes
linkedin
September 09, 2021

There’s increasing momentum to optimize operations with digital processes and meet customers where they are digitally. But how can enterprises manage this change in a secure way?

Reimagine Contact Centers with AI and Cloud
LinkedIn
August 25, 2021

In the travel industry, for example, airlines are currently facing record-breaking call volumes and their service agents are struggling to deal with a surge of inquiries. Delta reports call wait times of two to three hours and other major U.S. airlines have call wait times as long as 8 hours and 30 minutes.

Disruption is Here to Stay: Continuing Digital Transformation Post-Pandemic
LinkedIn
July 05, 2021

Organizations have drastically accelerated their digital transformation efforts by almost 2.5 years as a result of the impact from the COVID-19 pandemic, adopting technologies like the cloud to help them to innovate and become more agile during disruption.

The Future of Work: Confronting One of the Biggest Challenges of the Next Decade
Ronald Van Loon
June 29, 2021

Technologies like artificial intelligence (AI), machine learning (ML), and automation in all of its forms can augment human workers and enable them to pivot to more valuable work, and perform their jobs with more efficiency, safety, and ease.

Getting Future Ready with a Modernized Hybrid Cloud Environment
LinkedIn
June 10, 2021

Hybrid cloud is the foundation in which modernized organizations are built, and organizations need a modern platform and infrastructure to get the most out of their hybrid cloud environments.

Cloud for Healthcare: Streamline, Transform & Innovate
Ronald Van Loon
April 21, 2021

Ronald van Loon and Greg Pavlik, Senior Vice President Data & AI at Oracle talk about Streamline, Transform and Innovate Cloud for Healthcare

Cognitive Science + Data Science: Next-Gen Data Driven Marketing
LinkedIn
April 06, 2021

What are the psychological motivators driving customer purchasing decisions?

The era of ubiquitous digitalization, advanced analytics, and big data is here. Yet marketers frequently grapple with obtaining information that answers critical questions surrounding the purchasing behaviors of consumers.

Operationalizing AI at Scale with ModelOps
LinkedIn
December 21, 2020

Putting artificial intelligence (AI) into production can be a frustrating experience for organizations, one often destined for failure. In fact, only 53% of AI projects actually move past POC and into production. Since AI solutions are a determining factor in long-term and continuous success, organizations must meet this issue head-on in order to establish a consistent AI lifecycle.

How VDI and DaaS are Powering Hybrid Cloud Digital Workspace Environments
LinkedIn
November 24, 2020

}Businesses are at a turning point where they need to reconsider and reimagine their business infrastructure. This involves creating an environment that improves workforce capabilities, facilitates the use of modern applications and virtual solutions, and enhances security, all while remaining simplified in a way that reduces the complexities of using modern technologies, the costs of resources, and helps to remove the challenges that stand in the way of progress and innovation.

How Carriers Can Enable a Golden Decade of 5G
LinkedIn
November 19, 2020

What does it take to facilitate a golden decade of 5G?

In many industries and applications, the promise of 5G is already being realized. In the healthcare industry, 5G helped healthcare institutions respond to the immediate needs surrounding the COVID-19 pandemic, and ease overwhelming pressures on healthcare facilities by enabling robotics, and remote diagnostics and ultrasounds.

AI-Enabled Business Processes Advance Resilience and Agility
LinkedIn
November 02, 2020

By now most organizations understand that the AI gap is widening; those who had already begun to use intelligent technologies to advance digitization initiatives, such as new business model development and strategic automation, have been able to meet and rise above many of the more urgent challenges arising from the COVID-19 pandemic. Furthermore, these resilient companies were able to withstand the challenges presented by the pandemic, while others who are still on the threshold of digital transformation are at even greater risk of falling behind their competitors.

IT Transformation: Becoming a Data-Driven Digital Businesses in the New Normal
LinkedIn
October 29, 2020

Though DevOps and IT Ops are critical cogs in the organizational machine, they’re very often the unsung heroes that drive business advancement, innovation, growth, and resilience. At Splunk’s .conf20 event, DevOps and IT Ops were front and center in the topics surrounding our changing world and the corresponding new normals that businesses must attend to in order to thrive in a data-driven, digital era marked by rapid disruption.

The Role of Virtualization in the New Remote Work Era
LinkedIn
October 19, 2020

What happens when a transient business state becomes the new normal?

Many organizations are considering this as the reality of remote work unfolds into a more permanent state due to the progression of the COVID-19 pandemic. It’s now an increasingly urgent business agenda to develop iron-clad strategies for enabling the best possible remote work scenarios, and equip employees with tools that minimize disruption to workflows and optimize their ability to work to their utmost potential.

Ubiquitous Cloud and Intelligence for All Scenarios
LinkedIn
October 15, 2020

One of a business leader’s chief imperatives as they transition their organization into the post-COVID era is accelerating their cloud strategy. As the need to spawn next-generations of innovation and growth continues to be a main driver for technological adoption, businesses are looking to cloud services that are increasingly affordable, constant, dependable, and secure.

AI vs Data Science: Mapping Your Career Path
Simplilearn
September 01, 2020

When it comes to data science and artificial intelligence (AI), you’ll often find a lot of intersection between the two skill paths. AI has numerous subsets, like machine learning (ML) and deep learning (DL), and data science utilizes these technologies to interpret and analyze data, discover patterns, make predictions, and generate insights. So, deciding between AI vs data science can be tricky.

The Digital Enterprise: Outperforming Your Competition
linkedin
March 25, 2020

With the digital world of data becoming the focal point of discussions and innovation, there is unparalleled hype over what it takes to be a digital enterprise in this day and age. Data sits at the center of the digital revolution, and companies that have determined the best possible way to extract meaning out of data are well on their way to glory.

How to Transform Experiences with a Connected Enterprise
linkedin
March 09, 2020

While the digital revolution has enhanced the engagement between customer and organization, it has also led to the creation of a connected enterprise.

Developing AI with Trust: The AI Ethics Codex
linkedin
February 20, 2020

The evolution of AI is often met with worry, skepticism, but also hope for a better future. The media has often contributed to the AI theatrics, making the AI safety debate more controversial than it actually is.

How AI is Transforming Space Exploration
linkedin
February 19, 2020

The use of AI in space exploration is increasing at an unprecedented pace, with the market being valued at a staggering $2 billion and still growing. There are literally more stars in space than there are grains of sand on Earth, and each of those stars could harbor life or have a potentially habitable planet. Even if all humans were to unite under one umbrella and study each of those stars, they’ll run short on time.

eSIM: Game Changer with New Value Potential for Consumers and Service Providers
linkedin
February 12, 2020

eSIM, or embedded SIM, card is the talk of the town. It has received critical praise and the role of eSIM can’t be clearer:

TCO is the Key Driver for Telecom Operators 5G Cloud Core
LinkedIn
December 16, 2019

TCO is the Key Driver for Telecom Operators 5G Cloud Core
by Ericsson Digital & Ronald van Loon | #EricssonInfluencer
Download the full report here or click on the Infographic

The Transition of Spend Management to Intelligent Spend Management
LinkedIn
November 28, 2019

With the world of intelligence finally upon us, it is now expected that all aspects of business will be revolutionized. Businesses were ready to experience innovation in a lot of business processes and opportunities, but they weren’t expecting such a massive response.

The world of intelligence has made management easier and simpler. With new innovations such as intelligent spend management, managing costs and expenditures has become easier, as well.

How to Reduce Technology Distractions for a More Productive Workplace
linkedin
September 25, 2019

Research by Citrix and Forrester reveals critical insights for the corporate sector that circles around how productivity is driven and inhibited in organizations. Some of these are listed below:

Build an Analytics Strategy for an AI Driven Future with the Hybrid Cloud
linkedin
September 16, 2019

As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the digital transformation or the data-led transformation, but this transformation has been the talk of the town for a long time now.

Show Me The Money: A Look at How Technology is Helping Commercialize Sports
linkedin
September 12, 2019

"Digital augments the sport. It’s a test bed for new technologies and provides a platform for engagement." - Tom Sammes, European Tour

Impact of Hybrid Cloud on the AI Driven Future Enterprise
linkedin
September 11, 2019

The cloud is one of the quickest and most rapidly growing deployment options for businesses around the globe. With the recent surge toward intelligent enterprises, we’re seeing a lot of businesses move to the cloud for better management of IT computing resources. Businesses focusing on analytics are looking to leverage the cloud to improve the efficiency of their analytics processes and develop new advanced capabilities, and to make sure that their organizations gets the type of business intelligence they require.

Operationalized End to End Enterprise AI Becomes Mainstream
linkedin
September 10, 2019

The world is in the era of AI, and we are quickly moving toward the age of intelligence. Organizations across the globe have realized the potential hosted by AI, and how leveraging that potential can help them in extracting the best possible results.

Faster Innovation and Development with a Full-Stack AI Strategy
linkedin
September 03, 2019

The future is here and companies that have incorporated the latest innovations led by AI in their business processes are reaping the rewards.

How to Monetize the Sports Digital Transformation
linkedin
June 12, 2019

The sports digital transformation is upon us, and the world of sports is about to be disrupted through the technology at play. In the words of the most decorated Olympian to step on the podium:

Build Your Intelligent Enterprise through a Data Fabric
linkedin
May 29, 2019

The future offers interesting and exciting times ahead for most businesses. With data being a big influencer in the enterprise of the future, it is a matter of time before we jump into the era of intelligent enterprises.

6 Important Steps to Building a Successful Factory of the Future
linkedin
May 27, 2019

What is the factory of the future? Is it a synonym to Industry 4.0, or is it a different concept in its own right? Industry 4.0 and the factory of the future might sound similar, but they are different in some ways. To begin with, the factory of the future is an elusive concept that isn’t as common as Industry 4.0.

Succeed in the Intelligent Era with an End-to-End Data Management Framework
RvL
March 11, 2019

The last decade has seen unprecedented advancements in artificial intelligence. We have moved towards a data-centric approach, and data is the center of everything digital. The data collected through different sources is refined, analyzed, and orchestrated with data platforms to generate intelligent insights that can facilitate the growth of any organization.
The spread of these data platforms, coupled with the advancements in artificial intelligence, enable what has come to be known as the intelligent era. Enterprises are now making smart decisions – backed by actionable insights that also give them the guidance they need for the future.
As an SAP partner, I was given the opportunity to explore the SAP Data Hub and get insights into the data management challenges organizations face in the new Intelligent Era.
What to Expect in the Near Future
With bigger horizons and a solid base to build on, we can expect organizations to settle down with data to be a more significant part of this intelligent era. The following points list what can be expected from the future:
Enterprises will be able to generate data from any business, any person, and any device. This will be augmented by the Internet of Things or IoT and the broader 3rd party data economy.
We can expect better applications that are focused on improving the customer experience among many other things.
Enterprises will be able to have access to information essential to their products and services. The sales sphere will be smarter than it is now, with many personalized tools and techniques, marketing to every customer out there.
Humans have surely done the tough part, and they need to be consistent to reap the fruits of AI. However, data management is a necessity that shouldn’t be compromised. The foundation of all intelligence in the future and the benefits we mentioned above lie in the provision of data management. Data is the center of the IT landscape.
Data that is properly structured and is duly managed from its arrival to when it is under process within analytic tools or business processes would generate the best insights and actions. The insights you generate to fuel your enterprise’s intelligence and to take smart decisions will only be as good as the data that you have in your hands. Poor quality data and the lack of the data leads to poor quality insights and bad decision-making. Thus, data management is a crucial facet of an intelligent environment that must not be ignored. Since it plays an important pivotal role in dictating and building the ecosystem of change, data itself requires stringent checking and management throughout the whole analytics and business process.
What Hinders Companies from Performing in the Intelligent Era
Having talked about the shiny side of the intelligent world, there are also some major implications that require due attention as well. The SAP State of Big Data Study, published a year ago, revealed important statistics related to the challenges faced by organizations going smart.
According to the results, almost 74 percent of enterprises felt that their data landscape/ecosystem is too complex for them to understand, so much so that it is believed to limit their productivity and innovation in a way. 86 percent believed they weren’t getting much value out of the data and 84 percent of all CEOs were extremely concerned about the quality of the data and how the insights generated through it could negatively impact decision-making in the future. This skepticism is further fueled by the fact that over $9.7 million are lost every year per average organization due to poor quality data and the resulting bad decisions made based on it.
Enterprises and partners are realizing the benefits and the promise of an intelligent ecosystem by focusing on data transparency, by leveraging existing investments, by building new data processes, and by transforming data landscapes. They do plan to incorporate machine learning and open source technologies for insights, but the challenges cannot be ignored. These challenges include:
Siloed Data
Siloed data is perhaps the biggest challenge that enterprises looking to go smart are facing. The presence of large sets of secluded data on public or private clouds such as Hadoop, Microsoft, Google, or Amazon Web Services makes it challenging for organizations to gather the data required for decision making. Data is no longer only the domain of Enterprise systems but it’s being created by devices, 3rd parties, and derived from a myriad of sources and therefore the processing of data also needs to reflect the new data landscape data stores connecting, refining, and utilizing wherever it resides.
Most organizations want to run real-time analytics that gives them results and insights from their data on the go. But with these siloed platforms the data is scattered, inconsistent, and there is little potential for generating enterprise-wide insights in real-time. This concerns organizations and entrepreneurs as they try to search for potential options to help them solve this lack of available company-wide insights.
Data Volume
Due to the Internet of Things with literally billions of connected sensors and devices, mobile data, social data like Facebook, Snapchat and others, new data types arise almost daily.
The amount of data being generated and the need for digestion of this data volume is unheard of. Data volume, data generation velocity and data complexity increase to a level that has never been there before.
It is not only a challenge of completely new data types in structured and unstructured data sources that get generated, but it is also a challenge of volume.
Data Migration and Integration
Data migration, or the integration of all data to a single data store is difficult to perform. The substantial increase in IoT data sources, volume and velocity makes it hard to migrate data to a single source or integrate each source with all analytics and applications. It is often the case that analysis and decisions have to be made on data at the point of capture, at the edge, or on data in transit. Data migration and integrations also require significant expertise in the field of data management, which is scarce.
The combination of these factors makes it complex and difficult to build an intelligent enterprise that uses data to the fullest potential. It is because of the complications involved here that 84 percent of all CEOs believe that their data landscape is particularly complex and requires simplification.


Data Quality
It is simply impossible to handle the amount and complexity without software support: be it data quality management all the way up to machine learning and artificial intelligence. To understand the true meaning of data, help is required.
We have seen companies are challenged by having diverse and separated data landscapes, they are challenged with growing and more complex new data types arising, they have a hard time to ensure data quality, to understand the full meaning of data, and now comes along another phenomenon to handle. Additionally, it is very challenging to ensure consistency of data quality and transformation across many different data silos as data cleansing and enrichment may be performed differently in each implementation without central governance and alignment.

The Need for an End-to-End Data Management Framework
Enterprises drowning in the implications of data need an end-to-end management platform. Managing data on several public and private clouds can be too much to handle. A good end-to-end data management system should:
Unify Data: An organization should be able to orchestrate and unify all their distributed valuable data from public and private clouds with an end-to-end data management framework. This applies to both the data itself but also to the metadata that describes the data consistently which is be easy to find, understand, and utilize.
Simplify Landscape: Perhaps the most important functionality of an end-to-end data management system should be that it simplifies the landscape and makes it easier for enterprises to view and understand their data and work on it in one central place. Business users and IT users need to be able to discover the data and metadata and understand the lineage or how that data was sourced and transformed. Hindrances should be reduced to a minimum.
Handle Complexity: With the landscape already simplified, an end-to-end data management system should also handle the complexity by combining data from disparate data sources and make near real-time analyses easier. This enables faster development of new Analytics and decision processes through re-use, reduced redundancy, and making data before a service to users and processes. This simplification should also support the agility to adjust to new data, analytics, and adoption of new technologies to deliver the next generation of data driven innovations to the business. The ability to re-use existing data integration, data processing, and coding is a must – no customer wants to re-implement productive process and data flows but rather focus to driving new value based on net new innovations.
Centralize Governance: Data governance is a major concern for most managers, especially in the era of GDPR, which is why an end-to-end data management setup should centralize the governance and bring data access control over to the people that matter. Insight into of the metadata, profiles of data in the connected data stores, the data processes executed, and the end-to-end lineage on the interconnectivity is critical. This driving understanding what data is available, defined, used, consumed, and if business and regulatory policies are being complied with.
Data Management: Finally, and perhaps most importantly, an end-to-end solution should help you in managing your data better. It should provide a single solution that gives you full visibility into your data without leaving its original home. Data should flow through a data pipeline where it is collected, orchestrated and cleansed so you do not need to worry about the poor quality of insights and decision-making. This is not limited to the data integration flow but also to the process operations that are executed on data as it flows across the landscape. This A data management framework should manage your data for all future needs and even trigger actions based on predefined parameters.
End-to-End Data Management Systems at Work
The SAP Data Hub provides an end-to-end data management system to augment the efforts of enterprises towards a smarter future. Furthermore, embedded Machine Learning Algorithms and the integration to IoT provide SAP Data Hub with the necessary functionality to enable its customers to become truly intelligent enterprises. Kaeser Compressors SE, a manufacturer of compressed air solutions, is a user of the SAP Data Hub. The manufacturer can now integrate IoT data with customer data and equipment information to generate close to real-time insights allowing the company to adjust their business processes on the fly resulting in a better productivity rate, more agile ticket handling/customer service, and ultimately saving costs for the company
The latest SAP Data Hub release provides customers with a lean deployment and easy installation option offering a complete containerized setup for decentralized data processing. Enhanced Metadata Management and Cataloging functionality that were introduced with the latest Data Hub release allow customers to quickly and easily get an overview of their data sources, under the linage of data and operations, define and manage these in one central place, which is critical when it comes to compliance topics like GDPR. Additionally, SAP Data Hub is previewing new capabilities in integrate ABAP based systems into pipelines, integrate cloud data integration tools, and to integrate SAP Data Hub into BPM designed business processes with the wider data landscape.
SAP’s Hana business data platform carries all the benefits of an end-to-end data management platform mentioned above and builds together with SAP Data Hub the foundation for the Intelligent Enterprise. The HANA data platform together with the functionality enabled through SAP Data Hub helped Kaeser Compressors increase productivity and customer service by taking charge of the complexities involved in the data management process and delivering the insights generated through their data. The biggest benefit of SAP Data Hub that customers have reported is its ability to bring their structured and unstructured data together without the high costs of moving or replicating the data.
SAP’s Data Hub creates a foundation for all intelligent enterprises and augments the efforts of thought leaders in the creation of a smarter world.

Succeed in the Intelligent Era with an End-to-End Data Management Framework
RvL
March 11, 2019

The last decade has seen unprecedented advancements in artificial intelligence. We have moved towards a data-centric approach, and data is the center of everything digital. The data collected through different sources is refined, analyzed, and orchestrated with data platforms to generate intelligent insights that can facilitate the growth of any organization.
The spread of these data platforms, coupled with the advancements in artificial intelligence, enable what has come to be known as the intelligent era. Enterprises are now making smart decisions – backed by actionable insights that also give them the guidance they need for the future.
As an SAP partner, I was given the opportunity to explore the SAP Data Hub and get insights into the data management challenges organizations face in the new Intelligent Era.
What to Expect in the Near Future
With bigger horizons and a solid base to build on, we can expect organizations to settle down with data to be a more significant part of this intelligent era. The following points list what can be expected from the future:
Enterprises will be able to generate data from any business, any person, and any device. This will be augmented by the Internet of Things or IoT and the broader 3rd party data economy.
We can expect better applications that are focused on improving the customer experience among many other things.
Enterprises will be able to have access to information essential to their products and services. The sales sphere will be smarter than it is now, with many personalized tools and techniques, marketing to every customer out there.
Humans have surely done the tough part, and they need to be consistent to reap the fruits of AI. However, data management is a necessity that shouldn’t be compromised. The foundation of all intelligence in the future and the benefits we mentioned above lie in the provision of data management. Data is the center of the IT landscape.
Data that is properly structured and is duly managed from its arrival to when it is under process within analytic tools or business processes would generate the best insights and actions. The insights you generate to fuel your enterprise’s intelligence and to take smart decisions will only be as good as the data that you have in your hands. Poor quality data and the lack of the data leads to poor quality insights and bad decision-making. Thus, data management is a crucial facet of an intelligent environment that must not be ignored. Since it plays an important pivotal role in dictating and building the ecosystem of change, data itself requires stringent checking and management throughout the whole analytics and business process.
What Hinders Companies from Performing in the Intelligent Era
Having talked about the shiny side of the intelligent world, there are also some major implications that require due attention as well. The SAP State of Big Data Study, published a year ago, revealed important statistics related to the challenges faced by organizations going smart.
According to the results, almost 74 percent of enterprises felt that their data landscape/ecosystem is too complex for them to understand, so much so that it is believed to limit their productivity and innovation in a way. 86 percent believed they weren’t getting much value out of the data and 84 percent of all CEOs were extremely concerned about the quality of the data and how the insights generated through it could negatively impact decision-making in the future. This skepticism is further fueled by the fact that over $9.7 million are lost every year per average organization due to poor quality data and the resulting bad decisions made based on it.
Enterprises and partners are realizing the benefits and the promise of an intelligent ecosystem by focusing on data transparency, by leveraging existing investments, by building new data processes, and by transforming data landscapes. They do plan to incorporate machine learning and open source technologies for insights, but the challenges cannot be ignored. These challenges include:
Siloed Data
Siloed data is perhaps the biggest challenge that enterprises looking to go smart are facing. The presence of large sets of secluded data on public or private clouds such as Hadoop, Microsoft, Google, or Amazon Web Services makes it challenging for organizations to gather the data required for decision making. Data is no longer only the domain of Enterprise systems but it’s being created by devices, 3rd parties, and derived from a myriad of sources and therefore the processing of data also needs to reflect the new data landscape data stores connecting, refining, and utilizing wherever it resides.
Most organizations want to run real-time analytics that gives them results and insights from their data on the go. But with these siloed platforms the data is scattered, inconsistent, and there is little potential for generating enterprise-wide insights in real-time. This concerns organizations and entrepreneurs as they try to search for potential options to help them solve this lack of available company-wide insights.
Data Volume
Due to the Internet of Things with literally billions of connected sensors and devices, mobile data, social data like Facebook, Snapchat and others, new data types arise almost daily.
The amount of data being generated and the need for digestion of this data volume is unheard of. Data volume, data generation velocity and data complexity increase to a level that has never been there before.
It is not only a challenge of completely new data types in structured and unstructured data sources that get generated, but it is also a challenge of volume.
Data Migration and Integration
Data migration, or the integration of all data to a single data store is difficult to perform. The substantial increase in IoT data sources, volume and velocity makes it hard to migrate data to a single source or integrate each source with all analytics and applications. It is often the case that analysis and decisions have to be made on data at the point of capture, at the edge, or on data in transit. Data migration and integrations also require significant expertise in the field of data management, which is scarce.
The combination of these factors makes it complex and difficult to build an intelligent enterprise that uses data to the fullest potential. It is because of the complications involved here that 84 percent of all CEOs believe that their data landscape is particularly complex and requires simplification.


Data Quality
It is simply impossible to handle the amount and complexity without software support: be it data quality management all the way up to machine learning and artificial intelligence. To understand the true meaning of data, help is required.
We have seen companies are challenged by having diverse and separated data landscapes, they are challenged with growing and more complex new data types arising, they have a hard time to ensure data quality, to understand the full meaning of data, and now comes along another phenomenon to handle. Additionally, it is very challenging to ensure consistency of data quality and transformation across many different data silos as data cleansing and enrichment may be performed differently in each implementation without central governance and alignment.

The Need for an End-to-End Data Management Framework
Enterprises drowning in the implications of data need an end-to-end management platform. Managing data on several public and private clouds can be too much to handle. A good end-to-end data management system should:
Unify Data: An organization should be able to orchestrate and unify all their distributed valuable data from public and private clouds with an end-to-end data management framework. This applies to both the data itself but also to the metadata that describes the data consistently which is be easy to find, understand, and utilize.
Simplify Landscape: Perhaps the most important functionality of an end-to-end data management system should be that it simplifies the landscape and makes it easier for enterprises to view and understand their data and work on it in one central place. Business users and IT users need to be able to discover the data and metadata and understand the lineage or how that data was sourced and transformed. Hindrances should be reduced to a minimum.
Handle Complexity: With the landscape already simplified, an end-to-end data management system should also handle the complexity by combining data from disparate data sources and make near real-time analyses easier. This enables faster development of new Analytics and decision processes through re-use, reduced redundancy, and making data before a service to users and processes. This simplification should also support the agility to adjust to new data, analytics, and adoption of new technologies to deliver the next generation of data driven innovations to the business. The ability to re-use existing data integration, data processing, and coding is a must – no customer wants to re-implement productive process and data flows but rather focus to driving new value based on net new innovations.
Centralize Governance: Data governance is a major concern for most managers, especially in the era of GDPR, which is why an end-to-end data management setup should centralize the governance and bring data access control over to the people that matter. Insight into of the metadata, profiles of data in the connected data stores, the data processes executed, and the end-to-end lineage on the interconnectivity is critical. This driving understanding what data is available, defined, used, consumed, and if business and regulatory policies are being complied with.
Data Management: Finally, and perhaps most importantly, an end-to-end solution should help you in managing your data better. It should provide a single solution that gives you full visibility into your data without leaving its original home. Data should flow through a data pipeline where it is collected, orchestrated and cleansed so you do not need to worry about the poor quality of insights and decision-making. This is not limited to the data integration flow but also to the process operations that are executed on data as it flows across the landscape. This A data management framework should manage your data for all future needs and even trigger actions based on predefined parameters.
End-to-End Data Management Systems at Work
The SAP Data Hub provides an end-to-end data management system to augment the efforts of enterprises towards a smarter future. Furthermore, embedded Machine Learning Algorithms and the integration to IoT provide SAP Data Hub with the necessary functionality to enable its customers to become truly intelligent enterprises. Kaeser Compressors SE, a manufacturer of compressed air solutions, is a user of the SAP Data Hub. The manufacturer can now integrate IoT data with customer data and equipment information to generate close to real-time insights allowing the company to adjust their business processes on the fly resulting in a better productivity rate, more agile ticket handling/customer service, and ultimately saving costs for the company
The latest SAP Data Hub release provides customers with a lean deployment and easy installation option offering a complete containerized setup for decentralized data processing. Enhanced Metadata Management and Cataloging functionality that were introduced with the latest Data Hub release allow customers to quickly and easily get an overview of their data sources, under the linage of data and operations, define and manage these in one central place, which is critical when it comes to compliance topics like GDPR. Additionally, SAP Data Hub is previewing new capabilities in integrate ABAP based systems into pipelines, integrate cloud data integration tools, and to integrate SAP Data Hub into BPM designed business processes with the wider data landscape.
SAP’s Hana business data platform carries all the benefits of an end-to-end data management platform mentioned above and builds together with SAP Data Hub the foundation for the Intelligent Enterprise. The HANA data platform together with the functionality enabled through SAP Data Hub helped Kaeser Compressors increase productivity and customer service by taking charge of the complexities involved in the data management process and delivering the insights generated through their data. The biggest benefit of SAP Data Hub that customers have reported is its ability to bring their structured and unstructured data together without the high costs of moving or replicating the data.
SAP’s Data Hub creates a foundation for all intelligent enterprises and augments the efforts of thought leaders in the creation of a smarter world.

5G Revolution: Telcos Becoming the New App Store for Industrial Apps
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February 12, 2019

5G technology is knocking on our doors and is said to be around the corner. Mobile service providers have upped their game recently and are holding talks, events and discussions to formulate a plan for the launch of this futuristic network. Not only is 5G technology on the agenda at []
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5G Revolution: Telcos Becoming the New App Store for Industrial Apps
RvL
February 06, 2019

5G technology is knocking on our doors and is said to be around the corner. Mobile service providers have upped their game recently and are holding talks, events and discussions to formulate a plan for the launch of this futuristic network. Not only is 5G technology on the agenda at conferences, but many telecom providers have started testing it out inside labs.

With the advent of 5G approaching, serious questions are being asked of the potential this network has to deliver on what it has been promising.

5G and its Capabilities
5G promises capabilities that few other modern era technologies can rival. Some of its disruptive technologies include:

An ultra-low latency communication
Higher security and network slicing: This include the presence of different networks for diverse applications and challenges the perception of one network for everything.
Higher bandwidth. It is expected that 5G will give 1,000 times more bandwidth and 50 times greater latency than the previous 4G technology.
These advances are intuitive, but the question remains the same; is 5G going to be just another G, or is it a whole new disruption? Below, we look at some of the possibilities that come along with this amazing technology.

As a proud partner of Ericsson, I had the opportunity to get a better grasp on this topic. I spoke with Jitendra Manocha, Product Line Unified Data Management at Ericsson. Jitendra spoke to us about the potential of 5G and how it could disrupt in the Telco market. He also introduced us to some of their own research on this subject.

App Store’s Success
Back in 2007 we saw a major disruption in the telecom industry during the launch and subsequent success of smartphones. Smartphones went on to become popular and effective because of their experience and usability. However, Smartphone weren’t the end. Another disruption followed soon after when Steve Jobs launched the App Store for Apple. Through this platform, Jobs invited 3rd party developers to program and market new apps under the umbrella of their smartphone.

Interestingly Jobs wasn’t always in favor of the App Store solution. Jobs quashed this idea and said that Apple would be better off creating web applications for their customers. As is mentioned in the biography of his life, Steve Jobs was against the idea of the App Store because he thought their team did not have the bandwidth and the capabilities required to handle the complexities that would come as part of such a move. However, he changed his mind soon after and the App Store was born in 2008 – now today we see an exponential growth in applications and new use cases – it was the external innovation on the platform that fueled the application innovation. This concept has further expanded into a global entity that influenced the growth of other similar ideas such as Google’s Play Store.

The Disruption of 5G
The 5G disruption is going to be similar to that of the App Store. It’s expected that 5G will open up the network operating system for mobile networks through the core network. In the process, the network will expose the capabilities of the network to external parties for them to program their applications using the connectivity and edge of the mobile network.

The 5G world will not just be limited to phones and will now have everything connected under one umbrella (Industrial applications, business applications etc). It is similar to the App Store, but in 4 dimensions. Being driven by use cases, 5G will open a new revenue stream that can disrupt the market and lead to bigger and better innovations.

Why Is 5G Disruptive?
While low latency, higher bandwidth, higher security and network slicing make 5G a major disruption, we will provide insights in terms of factors that directly affect you, and which you’ll be able to better understand.

The following are the major reasons we believe 5G will prove to be a major disruption:

Increased programmability means increased possibilities
5G will help innovate new use cases and more importantly as of yet unknown use cases through new applications supporting multiple industries for eg Industry 4.0 and Remote Healthcare. This technology offers new potential to increase the programmability required to create an experience similar to that of the App Store. This increase in programmability would be done using APIs and SDK or software development kits.

APIs play an imperative role here as they provide the set of rich capabilities required to build blocks for third party AFs (application functions). These building blocks will help third party AFs to innovate service offerings within 5G. Operators can then allow this to enable additional revenue streams for better exposure to the opportunities and capabilities hosted within the setup.

Programmability started with 4G and is now radically improved with 5G, as the network is opening boundaries for Telco providers and operators. This will also lead to NBIoT 4G, which can be found in water metering solutions including smart grids and smart metering.

5G also opens new avenues such as an immersive video experience, Virtual Reality (VR) glasses and the augmentation of VR to create an amazing sport viewing experience. Fans would be able to watch games at home with the feeling of being in the front row.. All of this would be done using programmability, network slicing and edge technology.

5G technologies will assist in the realization of programmability as it will simplify the process and make it more doable. However, Communication Service Providers will need to think about additional layers of security as programmability becomes a reality.

Telecom Opportunities and Potential
Telcos have tremendous potential to address new use cases in the industry. This is driven by the huge improvements of connectivity services (higher bandwidth, lower latency) and by the capability to easily control them, tailor them around different needs and most importantly securely expose them. The Artificial Intelligence introduces a further element to the equation, making possible network closed loops based on processing insights and decision making; leveraging on that it will be possible to drastically automate network operations in the industry.

One of the most significant examples is the "Edge computing". It is an important feature in core network to strongly reduce the latency on data communication. This capability can be exposed through open API and activated based on the result of analytics, offering the opportunity to address new use cases in the industry not possible in the past. One example is the automatic recognition of a special type of service requiring ultra-low latency connectivity (e.g. Augmented Reality) and the consequent activation of the edge computing to deliver the right Quality of Experience to the end users who asked to use the special service.

While there are many more examples on 5G potential and lot is being developed in standards and Operators could start today to capture the Nb-IoT market building on 4G APIs (Provided by SCEF) which provides the key to capture the IoT market.

Business Model Innovation
Today, Telcos are making money through enhanced connectivity. The disruption from 5G will see the emergence of a new roles for the operators similar to that of App Store.

This new revenue model will see greater revenue streams that will ultimately increase profits that Telco operators can extract.

This change in models will also require the building of a new ecosystem that involves all processes from B2C, B2B and B2X.

With these 5G cases substantially growing and expected to be in place by the beginning of 2020, telecom services must start serious work on revenue models. There needs to be a level playing field where Telcos can extract the most out of the opportunities present.

To learn more you can download the Ericsson “Programmability of 5G Core: Underestimated disruption Opportunity” report by clicking here.

The Challenges to Tackle Before You Start With AI
Import from wordpress feed
January 30, 2019

Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology’s opportunities in full. There are numerous advancements being made in this regard, and many organizations have taken center sta

3 Ways How AI Will Augment the Human Workforce
RvL
January 17, 2019

The question in the AI market is no longer about whether AI can affect the workplace and the human workforce. Instead, the raging curiosity in the market revolves around a series of interlinked questions: When will the AI Wave happen? Will robots replace the whole human workforce? What would the end result look like?

The answers to these questions? Well, AI is happening right now in front of our eyes. The solutions this technology provides vary from self-driven complex processes to the insights and recommendations you get while scrolling through social media. With the impact already visible, one can definitely say that AI will be part of the workforce, but not replace it.

The common fear that robots will soon take over and steal countless jobs is an example of the concept of singularity. While we don’t blame humans for thinking this way, because they have been forced to believe so much in these non-existing changes through the media, the merger of AI and the workplace will be based more on the concept of multiplicity then singularity. Workplaces with multiplicity incorporate a diverse group of humans and robots together to increase efficiency and achieve results that neither of these diverse groups could have achieved working alone.

Multiplicity is therefore the single most important concept that perfectly explains the entry of Artificial Intelligence to the market. The growing interest in Multiplicity by business owners is justified, as it enables humans and machines to innovate and collaborate together to solve their problems.

Tata Communications has worked on the concept of Multiplicity, and recently revealed a study titled ‘AI will diversify human thinking and not replace it.’ As a proud partner of Tata Communications, I have been granted access to this information and have summarised key points from the study below.

Key Findings in the Study
The recent study by Tata Communications is based on specific and thoughtful input from over 120 business leaders. Business leaders surveyed as part of this report are projecting the potential impact of AI in the workplace and are currently using it for numerous purposes. In a transition from the dystopian views currently held by a few loud voices, this report breaks the pattern and introduces a new set of opportunities relating to the merger of technology and humans in the workplace. In short, AI can diversify the way humans think, rather than replace it.

Almost 90 percent of the business leaders surveyed as part of the study believed that cognitive diversity in the workplace is extremely important for running a successful organization. Managers in the contemporary workplace want employees to think differently and experiment with their typified ways of problem solving. While expecting such cognitive diversity was a bit difficult in the past, the role AI can play in the workforce means that organizations can expect greater rewards in the future. AI mechanisms will help augment human efforts in the workplace and stimulate cognitive diversification that benefits the organization.

The study also revealed that 75 percent of respondents expected AI to create new roles for employees. This is a clear indication that AI is not going to replace human jobs, but will instead increase efficiency and shift humans’ roles and even create new positions for employees that provide meaningful work better suited to humans’ strengths.

Interestingly, 93 percent of respondents believed that AI will enhance the decision-making skills of the organization. There is no doubt in the fact that AI hosts immense potential for delivering insights in the heat of the moment when they matter most. With decision makers presented with the right insights at the right time, they will be able to make more informed and forward thinking decisions.

Three Ways How AI will augment the Human Workforce
Having discussed the findings from the research by Tata Communication and the massive potential for humans and AI to co-exist and achieve increased efficiency, we will now shed light on the three ways through which AI will augment the skills of the human workforce.

With evidence to suggest that the human workforce is not going anywhere any time soon, below we will turn our attention to the important issue of how AI will enhance the human workforce.

Potential to Help Individuals Become More Curious, Agile and Nimble
AI’s increasing presence in the workplace will alter the skills that businesses expect from their employees. The way people think will be more important than ever, which is why the recruitment process will likely change for the better.

This people-CENTRIC view would champion creativity, curiosity, and experimentation as traits that humans boast about. Rather than being at the business end of things, humans will now devote more time to what humans are good at; adding value, thinking of new business ideas, creative problem solving and building meaningful relationships with stakeholders and clients.

AI Can Enhance Human Collaboration
Rather than thinking about substituting Artificial Intelligence into different business processes, organizations would benefit more from thinking about how both humans and machines can work together to create a partnership greater than the sum of its parts.

The beginning of this partnership can signal great things for organizations and may even help them develop their business offerings to deliver significant gains in performance.

Collaboration between humans is also likely to increase with the use of AI, as the technology has the capacity limit the presence of silos and other barriers to cross-organizational collaboration, ultimately making the organization a better, well-oiled machine for the future. Moreover, AI can also compensate for human error and further increase collaboration in the process.

AI Has the Potential to Enhance Cognitive Diversity within Groups
Perhaps the biggest benefit of AI comes with its ability to enhance the intellectual diversity and collective intelligence within a workplace. Both humans and machines will complement each other’s strengths to come up with diverse ideas that show the strength of AI’s implementation.

While humans can work towards bringing up ideas, creative solutions, and action plans, AI systems can work as the devil’s advocate and challenge inherent assumptions. These systems will negate creative flaws such as vampire creativity and groupthink among many others.

Impact on Businesses
Vinod Kumar, CEO and Managing Director at Tata Communication, believes that, “AI is now being viewed as a new category of intelligence that can complement existing categories of emotional, social, spatial, and creative intelligence. What is transformational about Multiplicity is that it can enhance cognitive diversity, combining categories of intelligence in new ways to benefit all workers and businesses”.

This change will impact businesses in the following ways:

Structure
The structure of work will change, and there will be a need for greater flexibility and agility. Organizations will want employees who are prepared to give the agility and flexibility that AI systems need to be leveraged to their fullest potential.

Replacement of Existing Jobs
Humans will toned to increase their skill set in a bid to adapt with changing organization settings, structures and tools. Existing jobs will be replaced, and humans will lean towards analytics more than anything else.

Lifelong Learning
One thing that AI promises to do is set the tone for a period of lifelong learning. AI is not a fad you can follow for a month or two and then abandon. With the rapid pace of technological evolution, organizations today identify it as a lifestyle shift that requires constant learning.

You can view the full report by Tata Communication by downloading it from here.

3 Ways How AI Will Augment the Human Workforce
RvL
January 17, 2019

The question in the AI market is no longer about whether AI can affect the workplace and the human workforce. Instead, the raging curiosity in the market revolves around a series of interlinked questions: When will the AI Wave happen? Will robots replace the whole human workforce? What would the end result look like?

The answers to these questions? Well, AI is happening right now in front of our eyes. The solutions this technology provides vary from self-driven complex processes to the insights and recommendations you get while scrolling through social media. With the impact already visible, one can definitely say that AI will be part of the workforce, but not replace it.

The common fear that robots will soon take over and steal countless jobs is an example of the concept of singularity. While we don’t blame humans for thinking this way, because they have been forced to believe so much in these non-existing changes through the media, the merger of AI and the workplace will be based more on the concept of multiplicity then singularity. Workplaces with multiplicity incorporate a diverse group of humans and robots together to increase efficiency and achieve results that neither of these diverse groups could have achieved working alone.

Multiplicity is therefore the single most important concept that perfectly explains the entry of Artificial Intelligence to the market. The growing interest in Multiplicity by business owners is justified, as it enables humans and machines to innovate and collaborate together to solve their problems.

Tata Communications has worked on the concept of Multiplicity, and recently revealed a study titled ‘AI will diversify human thinking and not replace it.’ As a proud partner of Tata Communications, I have been granted access to this information and have summarised key points from the study below.

Key Findings in the Study
The recent study by Tata Communications is based on specific and thoughtful input from over 120 business leaders. Business leaders surveyed as part of this report are projecting the potential impact of AI in the workplace and are currently using it for numerous purposes. In a transition from the dystopian views currently held by a few loud voices, this report breaks the pattern and introduces a new set of opportunities relating to the merger of technology and humans in the workplace. In short, AI can diversify the way humans think, rather than replace it.

Almost 90 percent of the business leaders surveyed as part of the study believed that cognitive diversity in the workplace is extremely important for running a successful organization. Managers in the contemporary workplace want employees to think differently and experiment with their typified ways of problem solving. While expecting such cognitive diversity was a bit difficult in the past, the role AI can play in the workforce means that organizations can expect greater rewards in the future. AI mechanisms will help augment human efforts in the workplace and stimulate cognitive diversification that benefits the organization.

The study also revealed that 75 percent of respondents expected AI to create new roles for employees. This is a clear indication that AI is not going to replace human jobs, but will instead increase efficiency and shift humans’ roles and even create new positions for employees that provide meaningful work better suited to humans’ strengths.

Interestingly, 93 percent of respondents believed that AI will enhance the decision-making skills of the organization. There is no doubt in the fact that AI hosts immense potential for delivering insights in the heat of the moment when they matter most. With decision makers presented with the right insights at the right time, they will be able to make more informed and forward thinking decisions.

Three Ways How AI will augment the Human Workforce
Having discussed the findings from the research by Tata Communication and the massive potential for humans and AI to co-exist and achieve increased efficiency, we will now shed light on the three ways through which AI will augment the skills of the human workforce.

With evidence to suggest that the human workforce is not going anywhere any time soon, below we will turn our attention to the important issue of how AI will enhance the human workforce.

Potential to Help Individuals Become More Curious, Agile and Nimble
AI’s increasing presence in the workplace will alter the skills that businesses expect from their employees. The way people think will be more important than ever, which is why the recruitment process will likely change for the better.

This people-CENTRIC view would champion creativity, curiosity, and experimentation as traits that humans boast about. Rather than being at the business end of things, humans will now devote more time to what humans are good at; adding value, thinking of new business ideas, creative problem solving and building meaningful relationships with stakeholders and clients.

AI Can Enhance Human Collaboration
Rather than thinking about substituting Artificial Intelligence into different business processes, organizations would benefit more from thinking about how both humans and machines can work together to create a partnership greater than the sum of its parts.

The beginning of this partnership can signal great things for organizations and may even help them develop their business offerings to deliver significant gains in performance.

Collaboration between humans is also likely to increase with the use of AI, as the technology has the capacity limit the presence of silos and other barriers to cross-organizational collaboration, ultimately making the organization a better, well-oiled machine for the future. Moreover, AI can also compensate for human error and further increase collaboration in the process.

AI Has the Potential to Enhance Cognitive Diversity within Groups
Perhaps the biggest benefit of AI comes with its ability to enhance the intellectual diversity and collective intelligence within a workplace. Both humans and machines will complement each other’s strengths to come up with diverse ideas that show the strength of AI’s implementation.

While humans can work towards bringing up ideas, creative solutions, and action plans, AI systems can work as the devil’s advocate and challenge inherent assumptions. These systems will negate creative flaws such as vampire creativity and groupthink among many others.

Impact on Businesses
Vinod Kumar, CEO and Managing Director at Tata Communication, believes that, “AI is now being viewed as a new category of intelligence that can complement existing categories of emotional, social, spatial, and creative intelligence. What is transformational about Multiplicity is that it can enhance cognitive diversity, combining categories of intelligence in new ways to benefit all workers and businesses”.

This change will impact businesses in the following ways:

Structure
The structure of work will change, and there will be a need for greater flexibility and agility. Organizations will want employees who are prepared to give the agility and flexibility that AI systems need to be leveraged to their fullest potential.

Replacement of Existing Jobs
Humans will toned to increase their skill set in a bid to adapt with changing organization settings, structures and tools. Existing jobs will be replaced, and humans will lean towards analytics more than anything else.

Lifelong Learning
One thing that AI promises to do is set the tone for a period of lifelong learning. AI is not a fad you can follow for a month or two and then abandon. With the rapid pace of technological evolution, organizations today identify it as a lifestyle shift that requires constant learning.

You can view the full report by Tata Communication by downloading it from here.

The Challenges to Tackle Before You Start With AI
RvL
January 14, 2019

Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology’s opportunities in full. There are numerous advancements being made in this regard, and many organizations have taken center stage of the AI world with in depth data analysis and data discovery solutions.

I'm excited to partner with Io-Tahoe. Io-Tahoe is one of the few organizations that have taken on the complications of AI and are endeavoring to achieve something big from this enormous feat. They provide smart data discovery and AI-driven catalog solutions to their clients and help them get actionable insights from their clients’ data..

Potential of AI
The potential of Artificial Intelligence is obvious. Adobe has estimated that they can expect 31 percent of all organizations will start using AI over the coming 12 months. This statistic is backed up by the fact that there are more startups than ever focusing their operations on AI and the services that it provides to the masses.

Roughly 61 percent of organizations that follow innovative strategies have turned to AI for taking extracts from the data that they previously might have missed. Innovation is an earmark of Artificial Intelligence, and startup ideas that believe in this ideology can seldom live without the oxygen that is AI.

Not only are marketers confident about AI, but consumers are also starting to grasp its vast potential. About 38 percent of consumers are beginning to believe that AI will improve customer service. With this growing awareness and popularity, we can expect these numbers to increase further down the line.

Challenges before you Start with AI
Organizations are finding it hard to find their footing under the four V’s of big data; Volume, Variety, Veracity and Velocity. Over 38 percent of the analytics and data decision makers from the market reported that their unstructured, semi structured and structured data pools made an increase of 1,000 TB in the year 2017.

The growth of data is increasing rapidly, as are the initiatives organizations are taking to extract value from it. Herein lie numerous challenges that organizations must overcome to extract full value from AI.

These complications are:

Getting Quality Data
Your inference tools would only be as good as the data you have with you. If the data that you’re feeding your machines isn’t structured and flawless, the inference gained from it would barely make the cut for your organization. Thus, the first step of the process is to have quality data.

Without the presence of trust in the quality of the data, they wouldn’t proceed with their AI initiative. This demonstrates the importance of data quality in AI, and how it changes the perspective of stakeholders involved.

The pareto concept applies here, as data scientists are bound to spend almost 80 percent of their time making data ready for analysis and then the remaining 20 percent for performing analysis on the prepared data. The creation of these data sets for the ultimate analysis is key to the overall success of the program, which is why scientists have to allot their time.

The 80/20 phenomenon has been noted by many analysts online, who believe that 80 percent of a data scientist’s valuable time is spent finding, reorganizing and cleaning up huge amounts of data.

Getting the Best Talent
Once you have quality data you need to understand the importance of recruiting and retaining the best talent in the industry. Since AI is relatively new, the labor market hasn’t matured yet. Thus, you have to be patient in your search for the right talent.

Two thirds of the current AI decision makers present within the market struggle with acquiring the right AI talent for their firm. With hiring done, 83 percent of these companies struggle with retaining their prized employees. The talent shortage obviously goes beyond all technical flaws, as firms need a wide range of expertise to handle AI systems. What is understood here is that traditional recruitment practices are barely implementable, and that organizations need to look for other options.

Access to Data
With the increasing rate of data regulations on the horizon, any organization can easily end up on the wrong side of the law if proper measures are not taken. The GDPR or the General Data Protection Regulation by the European Union is one of the most advanced and up-to-date privacy policies for data at the state level. Complying with such policies is mandatory, as non-compliance can leave you in a dire situation.

Trust and Data Transparency
There is a trust deficit and the market for AI and analytics isn’t showing any signs of decreasing over time. While the market has increased and progressed by leaps and bounds, this trust deficit still stands as it is and isn’t showing any signs of decreasing.

Strategies You Can Follow to Start with AI
With the complications mentioned above, we most definitely will not leave you hanging here. There are certain strategies you can follow for widespread AI implementation. These include:

Create an AI Vision
Organizations that know what to expect from their AI campaign fare better than those that have no idea about this technology and are just getting involved because their competition has. An AI vision can also act as a list of objectives for the future, so you can tally your end goals with what you planned out before.

Build and Manage Customer Journey Centric Teams
The end goal or the mega vision behind AI is to improve customer experience and add value to your offerings. To do this better, you can make customer journey centric teams that follow customers throughout their journey and improve their experience along the way. Your task goes beyond just making a team, as you will also have to monitor their progress moving forward.

Data Accessibility and Culture
While three fourths of all businesses want to be data driven, only around 29 percent can agree that they are good at connecting their analytics and data to actively generate insights. If the data you have isn’t ready for you to get actionable insights, unite your organization around that analysis and make business decisions based on that.

Data accessibility and culture are necessary for your organization because accessible data enables you to focus on business decisions, move on quickly and build an informed culture where data helps you make better decisions and take better actions.

End-to-End AI Lifecycle Management
End-to-end AI lifecycle management relates to the management of data from its extraction to when it is presented in the form of actionable insight. The process entails different stages like the acquisition, storage, dissemination, learning and implementation of the data. By implementing end-to-end management, you can ensure that your data is always in safe hands.

AI is the future for generating actionable insights for your organization. With the correct tools you can get your desired results and overcome the initial complications.

The Challenges to Tackle Before You Start With AI
RvL
January 14, 2019

Artificial Intelligence and the technology behind it are growing at a furious pace. Marketers have realized its vast potential and are striving to extract the technology’s opportunities in full. There are numerous advancements being made in this regard, and many organizations have taken center stage of the AI world with in depth data analysis and data discovery solutions.

I'm excited to partner with Io-Tahoe. Io-Tahoe is one of the few organizations that have taken on the complications of AI and are endeavoring to achieve something big from this enormous feat. They provide smart data discovery and AI-driven catalog solutions to their clients and help them get actionable insights from their clients’ data..

Potential of AI
The potential of Artificial Intelligence is obvious. Adobe has estimated that they can expect 31 percent of all organizations will start using AI over the coming 12 months. This statistic is backed up by the fact that there are more startups than ever focusing their operations on AI and the services that it provides to the masses.

Roughly 61 percent of organizations that follow innovative strategies have turned to AI for taking extracts from the data that they previously might have missed. Innovation is an earmark of Artificial Intelligence, and startup ideas that believe in this ideology can seldom live without the oxygen that is AI.

Not only are marketers confident about AI, but consumers are also starting to grasp its vast potential. About 38 percent of consumers are beginning to believe that AI will improve customer service. With this growing awareness and popularity, we can expect these numbers to increase further down the line.

Challenges before you Start with AI
Organizations are finding it hard to find their footing under the four V’s of big data; Volume, Variety, Veracity and Velocity. Over 38 percent of the analytics and data decision makers from the market reported that their unstructured, semi structured and structured data pools made an increase of 1,000 TB in the year 2017.

The growth of data is increasing rapidly, as are the initiatives organizations are taking to extract value from it. Herein lie numerous challenges that organizations must overcome to extract full value from AI.

These complications are:

Getting Quality Data
Your inference tools would only be as good as the data you have with you. If the data that you’re feeding your machines isn’t structured and flawless, the inference gained from it would barely make the cut for your organization. Thus, the first step of the process is to have quality data.

Without the presence of trust in the quality of the data, they wouldn’t proceed with their AI initiative. This demonstrates the importance of data quality in AI, and how it changes the perspective of stakeholders involved.

The pareto concept applies here, as data scientists are bound to spend almost 80 percent of their time making data ready for analysis and then the remaining 20 percent for performing analysis on the prepared data. The creation of these data sets for the ultimate analysis is key to the overall success of the program, which is why scientists have to allot their time.

The 80/20 phenomenon has been noted by many analysts online, who believe that 80 percent of a data scientist’s valuable time is spent finding, reorganizing and cleaning up huge amounts of data.

Getting the Best Talent
Once you have quality data you need to understand the importance of recruiting and retaining the best talent in the industry. Since AI is relatively new, the labor market hasn’t matured yet. Thus, you have to be patient in your search for the right talent.

Two thirds of the current AI decision makers present within the market struggle with acquiring the right AI talent for their firm. With hiring done, 83 percent of these companies struggle with retaining their prized employees. The talent shortage obviously goes beyond all technical flaws, as firms need a wide range of expertise to handle AI systems. What is understood here is that traditional recruitment practices are barely implementable, and that organizations need to look for other options.

Access to Data
With the increasing rate of data regulations on the horizon, any organization can easily end up on the wrong side of the law if proper measures are not taken. The GDPR or the General Data Protection Regulation by the European Union is one of the most advanced and up-to-date privacy policies for data at the state level. Complying with such policies is mandatory, as non-compliance can leave you in a dire situation.

Trust and Data Transparency
There is a trust deficit and the market for AI and analytics isn’t showing any signs of decreasing over time. While the market has increased and progressed by leaps and bounds, this trust deficit still stands as it is and isn’t showing any signs of decreasing.

Strategies You Can Follow to Start with AI
With the complications mentioned above, we most definitely will not leave you hanging here. There are certain strategies you can follow for widespread AI implementation. These include:

Create an AI Vision
Organizations that know what to expect from their AI campaign fare better than those that have no idea about this technology and are just getting involved because their competition has. An AI vision can also act as a list of objectives for the future, so you can tally your end goals with what you planned out before.

Build and Manage Customer Journey Centric Teams
The end goal or the mega vision behind AI is to improve customer experience and add value to your offerings. To do this better, you can make customer journey centric teams that follow customers throughout their journey and improve their experience along the way. Your task goes beyond just making a team, as you will also have to monitor their progress moving forward.

Data Accessibility and Culture
While three fourths of all businesses want to be data driven, only around 29 percent can agree that they are good at connecting their analytics and data to actively generate insights. If the data you have isn’t ready for you to get actionable insights, unite your organization around that analysis and make business decisions based on that.

Data accessibility and culture are necessary for your organization because accessible data enables you to focus on business decisions, move on quickly and build an informed culture where data helps you make better decisions and take better actions.

End-to-End AI Lifecycle Management
End-to-end AI lifecycle management relates to the management of data from its extraction to when it is presented in the form of actionable insight. The process entails different stages like the acquisition, storage, dissemination, learning and implementation of the data. By implementing end-to-end management, you can ensure that your data is always in safe hands.

AI is the future for generating actionable insights for your organization. With the correct tools you can get your desired results and overcome the initial complications.

Artificial Intelligence Era Requires New Approaches to Create AI Talent
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November 09, 2018

We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon going to be an imperative part of our lives. Considering the likely future impact of AI, there is […]
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Artificial Intelligence Era Requires New Approaches to Create AI Talent
Ronald van Loon
November 08, 2018

We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon going to be an imperative part of our lives. Considering the likely future impact of AI, there is a need to ensure that the right AI talent comes up and gets to the top to lead this wave of change. According to several key leaders from Huawei, this can only be achieved by changing certain approaches.

As a Huawei partner and a member of Huawei’s Key Opinion Leader Program, I joined three other experts conducting several keynotes at Huawei Connect in Shanghai all related to the question of how to develop talent in the AI era; Dr. Hao Lu, who is the Chief Innovation Officer at Yitu, Huang Weiwei, who is the Senior Management Consultant for Huawei, and Qian Wang, who is the Co-Founder of Mai Mai.

Read full article here: http://bit.ly/2z0mSYB

Why Organisations Nowadays Want an Analytics Platform
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October 26, 2018

With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations could handle data and extract insights out of it, without the presence of an analytics platform. The importance of enterprise a

Why Organisations Nowadays Want an Analytics Platform
Ronald van Loon
October 25, 2018

With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations could handle data and extract insights out of it, without the presence of an analytics platform.

The importance of enterprise analytics platforms has grown over time, to such an extent that they are considered imperative for storing and analysing data today.

As a member of the SAS Collaborator program, I had the luxury of receiving insights from an extended SAS survey assessing the likelihood of organisations going for analytics platforms and the motivating factors behind such a strategy. The research consisted of two parts, with the first one including interviews from over 132 government and business organisations.

Read full article here: http://bit.ly/2JhBUgt

How AI Revolutionizes the Industrial Sector
LinkedIn
October 04, 2018

Breakneck speed, unprecedented development and unhindered feasibility are just some of the phrases attached to the spread of Artificial Intelligence across various industries. AI today is at an important junction with huge potential for market growth. Currently valued at around $3 trillion, the market is expected to grow some 250 percent over the next five years to $8 trillion by 2023.

AI Transforms Industrial IoT
Import from wordpress feed
October 04, 2018

If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their ecosystems. In a

AI Transforms Industrial IoT
Ronald van Loon
September 27, 2018

If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their ecosystems.

In a bid to understand the dynamics of this data-centered growth, I teamed up with Hewlett Packard Enterprise (HPE) to do an analysis of their international survey on the present and the future of AI within the industrial sector. Through the survey HPE wanted to find answers to some of the most asked questions related to the field of AI:

What percentages of companies are working on AI?

How can AI transform industrial IoT for the better?

Will it prove to be a job killer for us humans?

The survey answers these and many other questions that shroud the mind of everyone who is currently a doubter.

The Promise of AI
AI has promised exceptional value addition to organizations that have incorporated it into the activities of their value chain. Not only has it enabled organizations to increase the efficiency of their operations, but it has also led to the creation of a better customer experience.

This progress has been enabled, among others, by the exceptional processing power and capabilities of systems that run AI, both at the ‘edge’, i.e. close to the industrial equipment, and in corporate data centers or clouds. In combination with years of experience working with analytics tools, and an increasing availability of AI frameworks, consulting and professional services, this has enabled organizations to use AI as a tool to add new features to their products and services, and center them on customer needs.

Why is AI an Opportunity Now?
AI is deemed by many organizations as an opportunity to achieve certain aims and goals. Based on results from within the survey, we had a look at what some executives wanted to achieve through the use of AI in their business.

Interestingly, 57% of the respondents said that they wanted to increase their operational, supply chain, and maintenance efficiency through the use of AI. In addition, 45% wanted to improve customer experience and 41% were looking forward to enhancing the practicability of their offerings.

Industrial companies also wanted to use AI to increase employee productivity, and to create new business models, products, and services. This offers a hint that the end goal these organizations are seeking from using AI is rapidly changing. As time goes by, organizations are beginning to realize that AI has multi-faceted benefits, and should be used accordingly.

The Hindrances and Challenges
From the results of HPE’s survey, we learned that over 50% of companies said they are engaged with AI, with 11 percent having already implemented the technology in core functions or activities, 14 percent planning to do so within the next twelve months, and 36 percent evaluating the implementation. However, 39% of companies still had no plans to implement AI.

Additionally, respondents were asked about the obstacles to implementing AI. Nearly half of respondents consider the lack of data quantity and quality as a hindrance in the implementation of AI.

One example that springs to mind is a client HPE worked with, from the tobacco industry. They had five separate machines operating within the same area. However, one of them would fail every once in a while. It was extremely perplexing and confusing for the client, as they now had a machine that would fail numerous times, whereas all others in the same place operated well. The reason for the continuous failures in the machine, after endless research, was found to be present in the humidity levels in the factory. This caused issues with the metal used in that specific machine. Now, this was an issue that an organization would never be able to find out about. They couldn’t correlate humidity during the day with the type of metal. Fast-forwarding to now, these are the types of issues you can handle with the proper use of AI.

Moving onwards, 42% of all respondents believed that lack of AI skills and knowledge was a hindrance in the implementation of AI in their organization, while 34% also believed that lack of data governance and enterprise data architecture was an obstacle providing high quality data for AI models and stopping them from widespread implementation.

How to Start with AI Now
When asked about the departments they would like to implement AI solutions in, most executives pointed towards obvious answers, but in a rather interesting chronology: 38% mentioned they would use AI in research and development if they had the opportunity. Maintenance and operations departments were tied at 34% and 32%; services followed with 29% of people saying they would implement AI solutions in this department.

The interest in the use of AI in research and development has led to an interesting use case for AI.

Why are organizations currently bent on using AI in research and development, more than any other department? A couple of reasons for this could be:

As new product development is one of the end goals that organizations want out of AI, they believe that research and development should be the one department benefitting the most from it.
Data in research and development has significantly increased over time. The research and development team provides proof of concepts to test new AI technologies before they are moved into full production.
While R&D received the most votes in the survey, respondents are deploying AI in broad range of departments and working together with partners in the ecosystem. An ecosystem stitches the model together and makes it work.

What to Expect from the Future: Is It a Job Killer?
With AI expected to become a bigger and better part of the organizational ecosystem in the future, HPE’s survey also asked respondents which scenarios they were expecting from the technology by 2030. Almost 55% of respondents voted in favor of predictive manufacturing, which includes superior predictions of demand and other metrics.

Moreover, 45% voted for self-repairing and self-configuring machines, and 44% for mass customization. This is not only about making maintenance easy by repairing and configuring their mechanism themselves, but it’s a foundation for implementing key visions of Industry 4.0, for example order-driven production, and others.

When asked about AI phasing out human input by 2030, two-thirds of respondents mentioned that AI will not be a job killer. AI will enable us to work better, more efficient and do new things we have never been able to do. It also holds the potential for changing and disrupting business processes and models for the better. While results from the survey are positive, how it actually pans out is yet to be seen.

AI Transforms Industrial IoT
LinkedIn
September 27, 2018

If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their ecosystems.

Digital Transformation: The Ultimate Guide to Becoming an Information Company
LinkedIn
September 12, 2018

The data revolution is gaining pace at breakneck speed, and we are finally towards the latter end of its implementation. Many inroads have been made by important stakeholders, and numerous organizations are currently trying to incorporate a data culture within their workplace. Future predictions suggest that every company will eventually be part of the data brigade and will benefit from the use of data analysis tools.

Six Ways to Make Smarter Decisions
LinkedIn
August 29, 2018

The advent of data and analytics has opened the doors to smarter, more progressive decisions. Basic business decisions related to profitability and other facets of the business process can significantly benefit from the use of data and analytics.

Telecom: Enterprise Messaging is the New Black
Ronald van Loon
August 24, 2018

Enterprises love messaging. There is no evidence in this world that can deny the obviousness of the fact that enterprises just love reaching out to their customers. Be it regarding new deals, a new promotion, or just to remind people about them, enterprises cannot stop themselves from reaching out to who they serve. These messages are expertly crafted for the end audience in mind, and they have a high rate of reaction. Gone are the days when email marketing would get you the laurels. Organizations have recognized enterprise marketing as a good source of reaching out to customers, and they don’t seem to be moving back to the traditional methods.

Here, we list some facts related to enterprise messaging, show some of the challenges that telecoms currently face in providing a platform for enterprises to manage, and describe how these roadblocks can be averted. In short, by the end of this article, not only would we know why enterprise messaging is so popular, but also, we’ll know of possible hindrances and how to get over them.

How Data Innovators Lead Data Transformation Forward
LinkedIn
August 13, 2018

Data transformation is currently upon us, and we can’t deny the fact that the future we talked about is now here. The world is finally progressing towards a more mature period of digital competence, and data innovators sit at the center of it all. Data-driven companies have an important role to play in ensuring innovation and making sure that customers get the services they require.

Telecom: Customer Experience is The Key to Success
LinkedIn
August 08, 2018

It can without a semblance of doubt be said that the digital transformation is currently over us. Gone are the days when companies wanted to prepare for it, and go into the era with sufficient preparation. With the transformation now over us, it is time for action, and the need to be at the top of their game is felt more than it ever was for most companies.

The Future of Business for an Intelligent World
LinkedIn
July 30, 2018

The intelligent world is truly upon us, and based on the technological advancements that we are becoming used to, one cannot wait for the future to arrive. In this intelligent world, there is pressure on businesses to deliver an exceptional customer experience, and to use every technology they can to ensure that the customers get what they expect.

Digital Meets 5G; Shaping the CxO Agenda
Ronald van Loon
June 16, 2018

The age of technology is way past its nascent stage and has grown exponentially during the last decade. In my role, travelling to events and meeting with thought leaders I am aware of the developments made across different technological fronts. During these events I have had the opportunity to meet and greet some of the brightest marketing minds. One such person, who is playing an imperative role in ensuring the smooth run of things in both Ericsson and across the digital sphere, is Eva Hedfors.

Eva Hedfors, who is the Head of Marketing and Communications at Ericsson Digital Services, is a leading driver in evolving the perception of Ericsson as a partner to operators transformation from Communication Service Providers to Digital Service providers. I had the opportunity to first meet Eva during Ericsson studio tour in Kista, Sweden. During our first meeting I could tell of her knowledgeable insights and the positive vision she had. Just recently I had the opportunity of interviewing her for a topic she will be presenting in a webinar on the 20th of June. The topic of the webinar – Digital Meets 5G; Shaping the CXO Agenda – is up for interpretation, and she did give me details regarding what she is expecting from the webinar, and how she plans to go about answering some of the questions in this regard.

What Steps should be taken by CxO’s for a Smooth Transition to 5G?
Eva shared her insights on how CxOs could prepare for a smooth transition to Digital Service Providers powered by 5G.”The initial 5G technology deployment will target the massive growth of video traffic in networks, but a leading and hard-to-crack requirement for all CxO’s is also to realize the industry potential and find new business growth through 5G. This involves to both innovate and participate in eco-systems, as well as to optimize the route for marketing such 5G services. CxO’s can take advantage of 5G to address relatively new segments and industry use cases in mission critical IoT as well as Massive IoT.” Eva explained the business models one creates also needs to be up-to-date and should reflect what’s happening in the market. Since the plan for 5G is rather new, most companies and industries won’t know much about it. Hence, it is necessary that decision makers in Telcos to position their existing capabilities towards different industries and using Network Slicing is one way to do that already on 4G. To capture the potential in 5G, for many CxO’s means focus to create a revamped strategy for billing and charging systems into a Digital Business Support System (BSS). Moreover, a proper infrastructure needs to be provided to ensure that the end consumer gets to experience the technology in a seamless manner. This would help generate positive insights. 5G is here today, and action needs to start from right now!

How to Avoid the Challenges Involved in Digitization?
The first step to avoiding the challenges involved in digitization is to recognize the efforts most customers have to put in place when engaging with their Telco provider. Once these efforts have been quantified, Telcos can take the necessary action. For the customers, touch points should be made accessible, and there should be no hindrance in communication for B2C, B2B and B2B2C customers. Failure to put the right digital IT infrastructure in place, including analytics and Digital BSS, will limit the business potential of 5G. That is why 5G and Digitalization needs to be planned and executed not as individual technology transformation projects, but as one transformation that aligns towards the same overall business objective in each time frame. Moreover, the technology teams should be motivated to simplify the core network and make it programmable. Eva mentioned that it was imperative for organizations to start already now and simplify the journey from vEPC to 5G Core for proper implementation and monetization of these revamped services.

Research for 5G Readiness across Different Industries
When asked about the research done to analyze the 5G readiness across different industries, Eva mentioned that Ericsson has done several reports on the potential of 5G across industries.

The 5G business potential study by Ericsson analyzes the business opportunities that come from proper industrial digitalization. The report focuses on the opportunities for organizations present in 10 of the major industries including, Manufacturing, Energy and Utilities, Automotive, Public Safety, Media and Entertainment, Healthcare, Financial Services, Public Transport, Agriculture and Retail. There are detailed use cases for these industries present in the research, which may help stakeholders in these industries to make a decision regarding 5G usage.
Another research based study released by Ericsson in this regard is the guide to capturing 5G-IoT Business Potential. The study answers questions pertaining to the selection of industries and what use cases to address. The insights have been collected from over 200 5G use cases that illustrate how operators can start their IoT business now through the use of 5G.
How Can 5G Technology Improve the Customer Experience Offered to existing Customers by Service Providers?
Enhanced Mobile Broadband is one of the major benefits of 5G technology, according to Eva, and it will help service providers enhance the experience they offer to their customers, who continue to increase consuming video on mobile devises . Better performance, reliability and ultra-high speed are some of the examples of the broadening consumer experience that can be provided through the 5G experience. According to a recent ConsumerLab report conducted by Ericsson, more than 70 percent of all consumers identify performance as one of the major expectations they are looking forward to from 5G.

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What are the Preparations and Biggest Challenges for 5G Readiness?
Through our industry partnerships we do know, many organizations across many industries have started to analyze how 5G will help drive their digital transformation. 5G business models are being crafted to ensure that the implementation is as smooth as possible. The biggest challenge to capturing the market potential for all actors in the industrial eco-systems, including telecom operators, is the investment in technology and business development. Business development will fall along the lines of organizational adaptation, and Eva believes that a proper infrastructure needs to be provided. It is necessary that 5G be provided the right infrastructure for industry wide implementation. Only organizations that have created the right structure and the model required for 5G implementation are ready for the technology. Without organization-wide infrastructure, 5G would be just like a car running without roads and filling stations.

Integrating 5G Technology across Infrastructure
Like we have talked about above, decision makers need to realize the importance of a proper automated structure that spans across all touch points to ensure that there is no hindrance to 5G services adoption. To that end, organizations also need to realize the importance of an architecture evolution strategy. The evolution strategy should seamlessly integrate 5G across the infrastructure and ensure the full flexibility in the handling of billing, charging and customer interaction.

Both IoT and 5G technologies are shaping the digital transformation and transforming all digital architecture by helping organizations evolve their services and infrastructure. 5G particularly brings a new level of characteristics and performance to the mix, which will play an important role in the digitalization of numerous industries. Telecom operators leveraging the power of 5G technologies can gain from financial benefits as well, as a USD 619 billion revenue opportunity has been predicted for these operators in the future. This revenue opportunity is real and up for grabs by operators, but it does require business model development that elevates telecom operators beyond the connectivity play.

For further insights in this regard, and what CxOs need to do for proper facilitation of Digitalization and 5G technology, you can head over to the webinar being hosted by Eva Hedfors and Irwin van Rijssen, Head of 5G Core Program Ericsson the 20th of June.

Real-time Data Integration: The X-Factor in Delivering the Ultimate Customer Experience
LinkedIn
June 12, 2018

The age of digital business requires every company to re-think how they rapidly adapt or risk extinction. The presence of unlimited data and the growing needs of customers demand that the customer experience substantially increases.

Industrial 4.0: Running Successful Anomaly Detection
LinkedIn
June 04, 2018

From smart phones to smart refrigerators, technology now plays a really important part in our life. This rapid rise of technology has not just added feasibility to our lives, but has also transformed the world of manufacturing.

Seamless Customer Experience for Telecoms: A Practical Approach
Ronald van Loon
May 16, 2018

May 16, 2018
In this age of data and convenience, customers across the globe are getting used to great customer experience from numerous companies. Big names such as Google, Apple, Amazon, and many others lead the way when it comes to ensuring a seamless customer experience. While these names lead the front, Telcos lag behind when it comes to their perception of great customer experience.

In consideration of the fact that Telcos lag behind when it comes to their perception of great customer experience, I recently talked to Thomas Kinnman from Ericsson. Both of us discussed important factors related to customer experience in the eyes of Telcos, and what should be done in this regard.

How Deep Learning Will Change Customer Experience
LinkedIn
May 07, 2018

Deep learning is a sub-category within machine learning and artificial intelligence. It is inspired by and based on the model of the human brain to create artificial neural networks for machines. Deep learning will allow machines and devices to function in some ways as humans do.

How Mobile AI Will Transform Our Lives
http://www.ronaldvanloon.com/
May 03, 2018

The age of Artificial Intelligence (AI) is almost upon us. Rapid developments in machine learning have allowed us to build better, smarter machines that are capable of making decisions and handling tasks similar to humans. Some of these developments are also being implemented in mobiles to create the next generation […]

What Does GDPR Mean For Your Business?
LinkedIn
April 23, 2018

The European General Data Protection Regulations (GDPR) will come into force on May 25, 2018. These regulations will have a significant impact on existing data collection and analysis methods

Blockchain Potential to Transform Artificial Intelligence
LinkedIn
April 19, 2018

The research on improving Artificial Intelligence (A.I.) has been ongoing for decades. However, it wasn’t until recently that developers were finally able to create smart systems that closely resemble the A.I. capabilities of humans.

Google Deepmind: The Importance of Artificial Intelligence
LinkedIn
April 16, 2018

Developments in Artificial Intelligence (A.I.) are happening faster today than ever before. However, the nature of progress in A.I. is such that massive technological breakthroughs might go unnoticed while smaller improvements get a lot of media attention.

AI’s Potential for Transforming the B2B Customer Journey
LinkedIn
April 09, 2018

Creating a seamless, personalized, and frictionless customer experience is one of the top-most priorities for businesses operating in today’s extremely competitive B2B environment. With customer expectations rising, and organizations looking to implement technological advancements, Artificial Intelligence (AI) has come across as one viable option for them. Be it through chatbots or through robots, many organizations are leveraging AI today to not only enhance the customer engagement, but to also ensure that the customer experience is as per the expectations of the consumer and lacks any flaws whatsoever.

GDPR Drives Real Time Analytics
LinkedIn
March 26, 2018

New reforms under the General Data Protection Regulation (GDPR) started as an attempt to standardize data protection regulations in 2012. The European Union intends to make Europe “fit for the digital age.” It took four years to finalize the agreements and reach a roadmap on how the laws will be enforced.

GDPR: an Opportunity to drive Customer Experience & Create Digital Trust
LinkedIn
March 12, 2018

With consumer data privacy becoming a top priority in the current age, regulating authorities have jumped into the conundrum to ensure that users get the privacy they need for their personal data. One such regulatory authority that has come into the mix to ensure rights for all users online is the European Union. The EU announced the General Data Protection Regulation or GDPR, that will be in full effect by May of this year. Although GDPR may be considered a regional regulation, its impact is far=flung and may be seen across the globe in the coming days.

Telecom Opportunities: How to Monetize IoT
LinkedIn
February 22, 2018

Internet of Things (IoT) is ranked high on the list of revenue generating opportunities for most Telecom Companies. It is expected to become an enormous market with devices from all over the world connected to the IoT network.

IoT and Telecom: The New Golden Era
LinkedIn
February 15, 2018

The rise of the Internet of Things (IoT) is now increasingly visible and ubiquitous thanks to the constant presence of interactive fitness trackers, intelligent thermostats, and autonomous vehicles among many other sensors. Such technologies are considered to be the future because they do a good job at making the things we have around us smarter and interactive. In fact, with the rise of the IoT expected to gain pace during the coming decade, we are no longer required to settle for dumb tools and can now look forward to the era of enchanted objects.

Steps to Grow From Machine Learning to Artificial Intelligence
LinkedIn
February 14, 2018

The technological advances in machine learning and development of Artificial Intelligence (AI) open many possibilities for the future. AI is nothing more than a continuation of machine learning which has been around for a long time.

Cognitive computing: Moving From Hype to Deployment
LinkedIn
February 08, 2018

Although cognitive computing, which is many a times referred to as AI or Artificial Intelligence, is not a new concept, the hype surrounding it and the level of interest pertaining to it is definitely new. The combination of hype surrounding robot overlords, vendor marketing and concerns regarding job losses has fueled the hype into where we stand now.

Digital Transformation Requires a Data-driven Culture
LinkedIn
February 05, 2018

The role of data in organizations is no longer a myth or a mystery that is difficult to comprehend. The transformation to the workplace of tomorrow is underway, and it is time that all organizations catch up and implement the necessary changes.

AI’s Impact on Retail: Examples of Walmart and Amazon
LinkedIn
January 29, 2018

Artificial Intelligence or AI is expected to be in major demand by retail consumers due to its ability to make interactions in retail as flawless and seamless as possible.

Smart Society: How to Trust Artificial Intelligence
LinkedIn
January 22, 2018

The concept of a smart society has been around for a long time, but the progress we have seen towards achieving it in the last decade has really been a giant leap for mankind. For those of us who are unaware, the smart society which looms over us is the future of mankind

How Telcos can Fully Benefit from IoT and Eco-Systems
LinkedIn
January 18, 2018

As the world is progressing towards an age of development in the Internet of Things (IoT) and other aspects related to it, the concept of the digital consumer is on the rise. Consumers of today want to experience the feasibility that is promised through this method.

Machine Learning Explained: Understanding Supervised, Unsupervised, and Reinforcement Learning
LinkedIn
January 15, 2018

Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to this field of study.

How Industrial IOT is Influenced by Cognitive Anomaly Detection
LinkedIn
January 12, 2018

The progress of the Internet of Things (IoT) and its industrial usage has been nothing short of amazing. The IoT as we know it has been aided through the help of organizations owning up the process and implementing the results to garner a more efficient system.

Using Real Time Marketing and Machine Learning based Analytics to Drive Customer Value Management
LinkedIn
January 08, 2018

The value of data-driven Customer Value Management or CVM cannot be underrated. Data and other algorithms/analytics that shape data are an imperative part of customer value management in a telecom company.

The Future is All about AI Devices That Can Actually Serve Us
LinkedIn
December 28, 2017

The role of Artificial Intelligence (AI) devices in augmenting humans and in achieving tasks that were previously considered unachievable is just amazing. With the world progressing towards an age of unlimited innovations and unhindered progress, we can expect that AI will have a greater role in actually serving us for the better.

The Difference between Data Scientists, Data Engineers, Statisticians, and Software Engineers
LinkedIn
December 18, 2017

Finding out the difference between data scientists, data engineers, software engineers, and statisticians can be confusing and complicated. While all of them are linked to data in a way, there is an underlying difference between the work they do and manage.

Retail: How to Keep it Personal & Take Care of Privacy
LinkedIn
December 11, 2017

For years the retail sector has been making use of customer data to propel their own marketing campaigns forward. What remains to be seen in this regard is, how the future of better data collection and technology, coupled with an enhanced need for customer personalization shakes up this procedure in the future.

How to Create a Smart City with IoT and Big Data
LinkedIn
December 07, 2017

These days, it seems like every city is trying to implement “smart” initiatives. Take Singapore for example, now known for the most extensive effort to collect data on citizens’ daily living habits/routines ever attempted by a municipality. Even Bill Gates has pumped millions of dollars into helping Phoenix in their smart city efforts.

Mobile Data Traffic Explosion: Explore IoT, 5G, & VR Opportunities
LinkedIn
November 30, 2017

The technology revolution of the 21st Century has opened the avenues towards many possibilities. We now have a mobile data traffic explosion on our hands, which can end up expanding growth while we move into the next decade.

The Role of Artificial Intelligence in Empowering the Data Driven Lawyer
LinkedIn
November 27, 2017

While covering the rapid rise in the use of Artificial Intelligence (AI) and Machine Learning (ML) during the past few years, I have had the privilege of monitoring its implementation in numerous sectors.

4 Ways How AI Can Augment the Digital Marketer
LinkedIn
November 20, 2017

As part of my experience, I have had the luxury of observing the way possibilities regarding AI have drastically arisen during the last decade.

AI In Telecom: Intelligent Operations is the New Norm
LinkedIn
November 13, 2017

The move towards an intelligent world is faster and more rapid than it ever was before. The increase in this transition has been propagated through the role of several high key stakeholders that have redefined the way we look at technology.

How to Create an Intelligent Company
LinkedIn
October 31, 2017

Nowadays, companies are besieged by information and the possibilities of new IT solutions. With the rapid advancements in information technology and high speed Internet, companies now have access to huge amounts of information, processing and sharing systems regarding customers, their demographics, and their online behavior across all touchpoints on the buyer’s journey.

(Part 2) RELX Group: The Transformation to a Leading Global Information & Analytics Company
LinkedIn
October 26, 2017

With the world changing so rapidly, every company or organization that adapts to the changes becomes an example for all others. One very recent example for all companies to learn from and implement in their own decision making is the transformation of RELX Group to a leading global information and analytics company.

Gear Up for the Smart Video Revolution
LinkedIn
October 16, 2017

The technology revolution promises to deliver a lot of rewards for organizations that take it by the horns and implement it.

RELX Group: The Transformation to a Leading Global Information & Analytics Company
LinkedIn
October 02, 2017

When we talk about taking the changes in technology and implementing them within an organisation, one name jumps to mind - RELX Group. The transformation of the FTSE 100 (and FTSE 15) RELX Group from a media company to leading global information and analytics company, with a market capitalization of about $44bn, is indeed inspirational and somewhat surprising.

The Role of AI in Assisting Customer Experience
LinkedIn
September 27, 2017

From being the plots of sci-fi thrillers to being seen as threats by the working populace, Artificial Intelligence (AI) has during the last few years jumped into the headlines as it has become a part of reality.

Principal Analyst, CEO of the Intelligent World
Intelligent World
May 01, 2020

Intelligent World is a thought leader, analyst and influencer network that connects businesses, experts and influencers to new audiences, and empowers them to collaborate, create and share exciting new content.

The Edge to Cloud Future: Driving New Innovations, Customer Strategy & Security
Ronald Van Loon
July 12, 2021

Ronald van Loon and Antonio Neri, President & Chief Executive Officer at Hewlett Packard Enterprise talk about The Edge to Cloud Future and Driving New Innovations, Customer Strategy and Security

MBBF 2020 Review: A New Age of 5G Innovation
Huawei
November 23, 2020

#5G will usher in a golden age of progress & innovation for business & society. How can carriers & telecoms seize opportunities in the new digital era? Watch Intelligent World CEO Ronald van Loon’s review of #HWMBBF to find out. #HuaweiNow #TrustInTech

A Chat About The Intelligent Twins
LinkedIn
September 25, 2020

A Chat About The Intelligent Twins
by Ronald van Loon & Jacqueline Shi |

#HuaweiPartner #HuaweiConnect Huawei Huawei Cloud & AI #Cloud #MachineLearning #ML #ArtificialIntelligence #AI

Cc: Craig Brown, PhD | Will Townsend | Dr Mark van Rijmenam |

Public Sector: Three Main Reasons To Embrace #Digitization Today
LinkedIn
September 24, 2020

Public Sector: Three Main Reasons To Embrace #Digitization Today
by Ronald van Loon & Hong-Eng Koh (高宏荣) |

#HuaweiPartner #HuaweiConnect Huawei #DigitalTransformation #ArtificialIntelligence #AI

Cc: Alain Regnier | Jose Carlos Garcia Rico | Toby Shapshak |

How Can #Software Teams Benefit From #EmbeddedAnalytics?
LinkedIn
September 24, 2020

How Can #Software Teams Benefit From #EmbeddedAnalytics?
by Ronald van Loon & Steven Schneider |

#LogiAnalyticsPartner Logi Analytics #BusinessIntelligence #Developer #UserExperience #Analytics #DataAnalytics #BigData

Cc: Data Science Central | Yves Mulkers | Jim Harris | Andrew Ng |

Future-Oriented Target #Network: Key to Achieve Business Success for Carriers in the #5G Era
LinkedIn
September 23, 2020

Future-Oriented Target #Network: Key to Achieve Business Success for Carriers in the #5G Era
by Ronald van Loon & Bill (风雨) Qin |

#HuaweiPartner #HuaweiConnect Huawei Carrier Business Huawei #CloudComputing #Future #Telecom #AritificialIntelligence #AI

Cc: Craig Brown, PhD | Jose Carlos Garcia Rico | Toby Shapshak |

Putting Workloads in the #Cloud: Expectations Vs Reality
LinkedIn
September 22, 2020

Putting Workloads in the #Cloud: Expectations Vs Reality
by Ronald van Loon & Regis Louis |

#OracleAmbassador Oracle #CloudComputing #Data #Productivity #Security #Digital #Technology #Innovation #ArtificialIntelligence #AI

Cc: Ibrahim Evsan | Rimah Harb | Dr Mark van Rijmenam | Wilhelm 'Wil' Bielert, PhD | Bernard Marr | Neil Cattermull |

#RemoteWorking: How to Overcome #Security and #Compliance Pitfalls
LinkedIn
September 21, 2020

#RemoteWorking: How to Overcome #Security and #Compliance Pitfalls
by Ronald van Loon, Philip Sailer & Molly Bausher |

#HPEPartner Hewlett Packard Enterprise Citrix #Data #Productivity #UserExperience #WorkFromHome #WFH #ArtificialIntelligence #AI

Keith Townsend | Kirk Borne | Gary Mintchell | IIoT-World | Bart Heungens | Evan Kirstel | Shira Rubinoff | Craig Brown, PhD | Yves Mulkers | TechNative | Ian Gertler |

Your Future In Data Science: Career Outlook for 2020 | Data Science Career | Simplilearn
Simplilearn
December 13, 2019

Join Ronald Van Loon, now the world's top influencer in Data and Analytics, for a live webinar on the Data Science Career Outlook for 2020 -- and how you can go about landing a job as a Data Scientist. In addition to answering your questions, Ronald will cover:

Breaking Into Data Science | A Fireside Chat With Ronald Van Loon And Anand Narayanan | Simplilearn
Simplilearn
October 29, 2019

Anand Narayanan, Chief Product Officer of Simplilearn, and Ronald Van Loon, author, blogger, and an influential voice in the Big Data industry, sat down to record a fireside chat, discussing the current state of the data science job industry, different career path options, and how to find the right entry-level job in data science at the right organization.

Ronald Van Loon Talks About Technologies Of The '20s || NTLF 2019
Nasscom Events
February 26, 2019

"Main Capability Of AI Is To Improve The Customer Experience," Says Ronald Van Loon, Top10 Big Data, Data Science, IoT, AI Influencer, Director, Adversitement In Conversation With Govindraj Ethiraj, BOOM.

Ronald van Loon on how to apply Machine Learning everywhere - Part 1
IBM Data and AI
August 22, 2018

Machine Learning can help any and every aspect of an organization, from sales and marketing to finance. Listen to Director of Adversitement Ronald van Loon speak to how machine learning helps data driven companies generate value.

Why You Should Care About Data Literacy
Intelligent World
May 12, 2021

Premier Live Clubhouse Broadcast:
Why You Should Care About Data Literacy

Learn how the role of data is shifting from an exclusive data science tool to a standard competency & driver of success in today’s world:

-Take a deep dive into the growing trend & value of data literacy
-Learn why consuming, interpreting & understanding data is becoming a new standard business language & competency
-Explore the distinction between data literacy & technical literacy
-Learn which resources are available to improve data knowledge, including reskilling & upskillin

Ronald van Loon Live @ Mobile World Congress 2019
Ronald Van Loon
February 24, 2019

Explore the potential of intelligent connectivity. Join Ronald van Loon Live @ Mobile World Congress 2019 at Barcelona, Spain on Feb. 25-28 2019. Live reporting, videos, and more with HPE, Comcast MachineQ, Ericsson, Microsoft, & Huawei. There will also be Live Event Updates on Twitter and Instagram, Interviews and Live Presentations on Youtube and In Depth Coverage on Linkedin Pulse

IoT and Telecom: The New Golden Era
Ronald Van Loon
February 20, 2018

IoT and Telecom: The New Golden Era

5G Innovation Unleashed: Robotic Surgery, Autonomous Transportation, and Immersive Training
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May 29, 2023

Use AI Simulations For Scientific Discovery!
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May 26, 2023

Remote Piloted Vehicles Are Shaping Transportation As We Know It
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May 25, 2023

ChatGPT: The Next Big Game Changer in Contact Centers
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May 24, 2023

Revolutionizing AI Search: Hashes, Vectors, and Intent
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May 22, 2023

5G Augmented Reality: Revolutionize Manufacturing
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May 18, 2023

Build Predictive Models And SuperCharge Your Insights In 15 Seconds
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May 16, 2023

AI Neuralsearch: Opportunities, Challenges, and UX Impact
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May 15, 2023

Intelligent CX Platforms: AI for Superior Customer Experiences
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May 11, 2023

Empower Contact Centers With ChatGPT
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May 10, 2023

Revolutionizing Education in Robotics, Telecom & Healthcare Engineering
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May 08, 2023

Remote Piloted Vehicles Are Shaping Transportation As We Know It
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May 04, 2023

Automate & Optimize 5G Network Management
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May 03, 2023

Generative AI and Automation: Shaping the Future of Contact Center Excellence
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May 02, 2023

Strategy-Driven Digitization: Smart Ports, Mines, and Factories
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April 27, 2023

Engineering a Sustainable Future: The Energy Trilemma and Model-Based Design
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April 26, 2023

Data-Driven Decarbonization: The Future of Sustainable Business
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April 24, 2023

Latest Trends: Low-Code Workflows and Generative AI
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April 22, 2023

Play With A Robot Dog Using 5.5G
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April 20, 2023

Navigating the Decision Dilemma: How Decision Intelligence Empowers Corporate Executives
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April 19, 2023

Easily Embed Analytics Everywhere!
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April 13, 2023

Accelerate Your Business and Optimize Your Workloads
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April 12, 2023

Digital + Green: Key Strategies to Digitize your Organization in a Sustainable Way
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April 06, 2023

Unlocking Innovation-Next Generation of Semiconductors
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April 05, 2023

The Future of High Quality Streaming
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April 04, 2023

AI And Robotics In Metaverse Evolution
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March 30, 2023

Future-Proof Your Network: Advancements in Open RAN and AI
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March 29, 2023

Experience The Future of Live Content
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March 28, 2023

AI And Robotics Shape The Future
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March 27, 2023

Revolutionary Self-Assembling Materials!
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March 23, 2023

Use #AI to Create Avatars in the #Metaverse @NVIDIA, thank you for sharing your case study.
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March 23, 2023

AI World Record for Route Optimization!
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March 21, 2023

The World’s First 5G Smart Factory
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March 20, 2023

ICT Vision for Europe 2030: Challenges, Trends and Solutions
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March 14, 2023

Mobile IoT & 5G: The Challenges, Compelling Use Cases and Trends
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March 08, 2023

How AIS, Ethio Telecom, and Telecom Argentina Leverage Data to Improve Customer Experience
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March 07, 2023

Vertical Take-Off Hybrid Electric Aircraft
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March 06, 2023

Simulate Eye Contact with AI!
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March 02, 2023

The Post-Quantum Telco Taskforce: Securing Data in the Quantum Era
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March 02, 2023

Simulate Eye Contact with #AI!
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March 02, 2023

Diversity in Tech: Key to Unlocking Innovation and Business Growth
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March 01, 2023

The Next Generation of Metro Networks: AI, Cloud and Sustainability
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February 28, 2023

Smart Connectivity: MWC 2023 Sneak Preview
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February 22, 2023

Develop Virtual Worlds in the Metaverse with AI
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February 20, 2023

Automatic Insights Makes Business Users Analysts
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February 16, 2023

5G Transforms Oil Drilling With Smart Wells
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February 15, 2023

Automatically Age 3D Actors in Real Time!
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February 14, 2023

5G & AI Smart Mining
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February 13, 2023

#5G & #SmartHealthcare Save Lives
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February 13, 2023

Transform Patient Care With AI And Large Language Models
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February 09, 2023

Tianjin Smart Port in China: Improves Efficiency, Safety, and Sustainability
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February 08, 2023

2023 Telecom Key Tech Trends
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February 07, 2023

Transforming The Aviation Industry Using Sustainable Energy
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February 06, 2023

AI-Based Virtual Worlds
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February 03, 2023

NFL's Digital Athlete: Transforming Sport & Player Safety
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February 02, 2023

Advanced Digital Tools Shape The Metaverse
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February 01, 2023

5G Smart Ports With Autonomous Driving
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January 31, 2023

Smart Manufacturing & Intelligent Robots
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January 30, 2023

Digital Self-Portraits Will Replace Metaverse Avatars
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January 27, 2023

Digital Twins for AI SuperComputers
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January 26, 2023

This AI Learned Diplomacy!
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January 25, 2023

#DigitalTwins Revolutionize Industries
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January 24, 2023

Robots Learn And Adapt Without Programming
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January 23, 2023

Play with a Robot Dog using 5.5G
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January 19, 2023

Application Integration, Automation & Virtual Payments
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January 16, 2023

Smart Oil Wells use AI, IoT & Cloud
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January 12, 2023

AI-assisted Daily Decision-making
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January 11, 2023

#AI Assisted Decision Making
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January 10, 2023

Geofencing 5G Location Technology
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January 09, 2023

Avatar’s End? Metaverse Body Projection!
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January 02, 2023

Turning Images to 3D with AI
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December 29, 2022

5G Enables Real-Time TikTok Shopping on Markets
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December 28, 2022

Rapidly Meeting Customer Needs Through Partners
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December 27, 2022

Manufacturing Parts Self-Assemble
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December 26, 2022

AI Everywhere with Embedded AI
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December 22, 2022

Save Lives with 5G & Smart Healthcare!
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December 20, 2022

Tips To Secure CI/CD Pipelines
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December 19, 2022

Create 3D Worlds for the Metaverse with AI
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December 15, 2022

#Robot Learns Play-Doh Molding Skills
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December 14, 2022

Cybersecurity: Key Tips to Stop Bot Attacks
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December 12, 2022

Watch Sporting Events From Every Angle!
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December 08, 2022

Driving Innovation with an Open Ecosystem
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December 07, 2022

Top 3 Technology Trends
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December 06, 2022

AI-Assisted Decision Making
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December 05, 2022

Create Virtual Characters For The Metaverse With AI
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November 28, 2022

The World’s Most Advanced Automated Warehouses for Groceries
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November 23, 2022

Enhancing Robotics with AI
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November 22, 2022

AI Robotic Avatars For The Metaverse
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November 17, 2022

Create Avatars in the Metaverse with AI
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November 16, 2022

Control a #Drone With Gestures
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November 15, 2022

Latest Innovative 5G & 5.5G Use Cases in the Asia-Pacific Region
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November 10, 2022

AI accelerates drug discovery
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November 08, 2022

Origami Robotic Gripper Can Lift 100 Times Its Weight
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November 04, 2022

Latest 5G and 5.5G Use Cases: Transforming the Customer Experience
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November 03, 2022

The Metaverse Will Allow Users a Variety of Experiences Across Multiple Environments
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November 01, 2022

Retail Shopping in the metaverse!
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October 31, 2022

Shared Responsibility for Cloud Security
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October 31, 2022

5G Trailblazers: Immersive Events, Autonomous Vehicles & Factory of Future
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October 26, 2022

AI Everywhere: Vision, Success Cases & Open Platform
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October 25, 2022

Smart Airports & Smart Travel
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October 24, 2022

Unleashing Digital: The Latest Trends & Developments
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October 20, 2022

5G AI Smart Ports
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October 19, 2022

Cybersecurity for Startups: Best Practices to Follow
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October 19, 2022

Work-From-Anywhere: Enhancing the Digital Employee Experience
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October 18, 2022

Smart Farming: #5G, #AI, and #Drones Are Shaping the Future of #Agriculture
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October 17, 2022

Co-creating in #VR Over #5G
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October 13, 2022

AI-powered Sales: Augmenting Salespeople to Improve Performance
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October 06, 2022

This Smart Batting Cage Will Make You a Pro!
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October 06, 2022

Medical Image #AI Can Predict Patient Race
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September 29, 2022

The Latest #AI innovations: Robot dogs, #AI drug discovery & Digital avatars
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September 26, 2022

Live broadcast: Assistive Robotic Wearables
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September 15, 2022

Join me at Huawei Connect 2022
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September 07, 2022

The Future of Smart Manufacturing
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September 06, 2022

Intelligent Robots and Smart Manufacturing
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August 31, 2022

Autonomous Robots, Unmanned Aerial Technology
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August 24, 2022

Best Job Skills Across Industries
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August 22, 2022

Robot Learns How to Shape Play-Doh
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August 17, 2022

Play #Baseball Like a Pro With This Incredible Smart Batting Cage!
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August 16, 2022

Sustainable Aviation: The Role of Disruptive Technologies
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August 09, 2022

How Formula 1 Is Using the Power of AI & Cloud
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August 04, 2022

Cloud Security: Vision, Disruptive Technologies & Preventing Advanced Threats
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August 02, 2022

Top Trends & Tips for CISOs
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July 28, 2022

Green ICT powered by AI and 5G
Ronald Van Loon
July 25, 2022

Green ICT powered by AI and 5G

#Amazing Tech! Control a #Drone With Gestures
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July 21, 2022

This Origami Robotic Gripper Can Lift 100 Times Its Weight
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July 19, 2022

Assistive Robotic #Wearables
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July 14, 2022

Co-creating in #VR Over #5G
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July 12, 2022

Who Let the Dogs Out?
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July 07, 2022

5G & Mobile Gaming: The Latest Opportunities for CSPs
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July 06, 2022

Getting Dressed With the Help of #Robots
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July 05, 2022

Robot Learns to Brush Hair
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June 30, 2022

A Robotic Cheetah Learns to Run Fast
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June 28, 2022

AI can Predict Patient Race From Medical Images
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June 24, 2022

Enhancing Observability for Innovation and Transformation in 2022
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June 20, 2022

The Convergence of Security and Observability
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June 15, 2022

Who else is looking forward to Friday?
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June 10, 2022

Digital Trust: Technologies & Regulations #HuaweiPartner
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June 01, 2022

Energy: Intelligent Green Energy #HuaweiPartner
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May 31, 2022

Enterprises: New Productivity & Resilience #HuaweiPartner
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May 30, 2022

Cities: More Human & Liveable #HuaweiPartner
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May 27, 2022

Transport: Smart, low-carbon Transport #HuaweiPartner
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May 26, 2022

Living: Personalized, Interactive Space #HuaweiPartner
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May 25, 2022

Food: Data-driven Food Production #HuaweiPartner
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May 24, 2022

Healthcare: Computing the Quality of Life #HuaweiPartner
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May 23, 2022

Protecting Endangered Wildlife with AI Acoustic Sensors
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May 20, 2022

F1 Simulator Race: Dakar Rally Legend Tom Coronel vs Ronald van Loon
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May 19, 2022

Saving Marine Life with AI
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May 19, 2022

Latest Machine Learning Innovations
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May 10, 2022

The Role of Data & AI in Tackling Climate Change
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May 09, 2022

Transforming Grocery Retail with Cloud
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May 05, 2022

Latest Cloud Technologies for Businesses to Scale & Grow
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May 04, 2022

Learn Latest Data Analysis & Scientific Techniques for Data Scientists & Engineers
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May 02, 2022

Latest Workshops & Developments for Data Scientists & Engineers
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April 28, 2022

8 Technology Predictions for 2030
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April 26, 2022

Latest AI trends in Science and Engineering
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April 25, 2022

Public Transport Innovation with Cloud: Opportunities & Challenges
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April 19, 2022

Tips & Tricks for Executing an AI Strategy
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April 14, 2022

How AI-Enabled OSS/BSS Empower Transformation
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April 07, 2022

Industrial IoT, 5G & Security: Accelerate Innovation
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April 05, 2022

How an AI-Powered Data Platform can Drive CX Improvements
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March 31, 2022

Sustainability: Strategies, Tools & the Role of Cloud
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March 28, 2022

How AI Creates a Foundation for CSP 5G Success
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March 24, 2022

Next-Gen Communication: Blending Physical & Digital Worlds Together
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March 22, 2022

The Road to AI requires Data Management
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March 17, 2022

All CSPs will embrace AI but how will you thrive
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March 10, 2022

Spatial Intelligence: Transforming the Future of Retail
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March 09, 2022

The Role of Cloud in Delivering Customer Experience in the Travel Industry
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March 07, 2022

Latest 5G Innovations & Applications
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March 04, 2022

Live broadcast: Immersive 5G Experiences Live at #MWC22
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March 02, 2022

Carrier 5G Business Success Through Innovation
Ronald Van Loon
February 28, 2022

Ronald van Loon, CEO of Intelligent World & Huawei Partner talk about how carriers can achieve business success with 5G through innovation

CSPs as Digital Disruptors: What Are the Tools Required to Realize This?
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February 21, 2022

CyberSecurity for Mobile Solutions: Best Practices for Enterprises
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February 10, 2022

Join me for Max Verstappen and Red Bull Racing 2022 Season Launch
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February 09, 2022

Join me for Max Verstappen and Red Bull Racing 2022 Season Launch
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February 08, 2022

VDI vs DaaS: Operations, Security & Cost
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February 07, 2022