Thinkers360

Ronald van Loon

Amsterdam Area, Netherlands

163089 Followers

Helping Data-Driven Companies Generate Business Value

With the advent and rise of digital transformation and its subsets – data science, big data, the IoT (Internet of Things), predictive analytics, and business intelligence – businesses and organizations have more ways than ever before to track and improve internal processes, customer service, and customer experience.

As a recognized expert and thought leader in this field, I work with data-driven companies to generate business value so that they may meet and exceed goal after goal.

I have been recognized for my work in the field of digital transformation by such publications and organizations as Onalytica, Dataconomy, and Klout. In addition to these recognitions, I am also an author for a number of leading big data websites, including The Guardian, The Datafloq, and Data Science Central, and I regularly speak at renowned events and conferences.

Ronald van LoonPoints
Academic0
Author53
Influencer1624
Speaker0
Entrepreneur0
Total1677

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Areas of Expertise

Analytics 45.12
Customer Experience 50.35
Big Data 45.75
Digital Transformation 30.99
AI 47.17
Sustainability 31.71
Procurement 30.63
Marketing 30.36
IoT 31.03
Predictive Analytics 31.06

Industry Experience

Publications

50 Article/Blogs
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

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Tags: AI, Digital Transformation, IoT

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

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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

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Tags: Analytics, Big Data, Predictive Analytics

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.

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Tags: AI

AI Transforms Industrial IoT
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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

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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.

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Tags: AI, IoT

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.

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Tags: AI, IoT

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.

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Tags: Digital Transformation

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.

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Tags: Analytics, Big Data

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.

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Tags: AI, Digital Transformation, Marketing

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.

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Tags: Analytics, Big Data

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.

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Tags: Digital Transformation

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.

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Tags: AI, Sustainability, Procurement

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.

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Tags: Customer Experience, Digital Transformation

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, AI, Customer Experience

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 […]

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Tags: AI, Big Data, Mobility

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

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: AI

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, AI, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, AI, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, AI, Big Data, Customer Experience

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.

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Tags: Analytics, AI, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

(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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, Big Data, Customer Experience

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.

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Tags: Analytics, AI, Big Data, Customer Experience

1 Video
Live Event Series: Why Every Company is an AI Company!
YouTube
October 23, 2018
Interview with Norm Judah, CTO Microsoft Enterprise

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Tags: AI

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Opportunities

1 Speaker
Everything Data Scientists Should Know About Organizing Data Lakes

Location: Virtual/Webinar    Date Available: June 14th, 2018    Fees: Free

Submission Date: June 12th, 2018    Service Type: Service Offered

Learn how to turn data lakes into organized & manageable data because businesses need the means to obtain real value from their data lakes. And discover how data lakes fit into the ecosystem of your organization as well as establish end to end data management practices supporting data & analytics innovation. Join Ronald van Loon and Anand Narayanan with SimpliLearn for a Fireside Chat on June 14th, 8:00 AM PDT or 17.00 CET.

Register for the webinar here: http://bit.ly/2LL0Blr

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Ronald van Loon