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Ganes Kesari
Founder & Chief Decision Scientist at Innovation Titan
Princeton, New Jersey, United States
Ganes is the Co-founder and Chief Decision Scientist at Gramener. He is an entrepreneur, AI thought leader, author, Adjunct Professor, and TEDx speaker. Ganes advises executives of large organizations on data-driven decision-making. His expertise lies in the application of data science to solve business challenges, and in building teams to promote a culture of data.
Available For: Advising, Authoring, Consulting, Influencing, Speaking Travels From: Princeton, New Jersey
Speaking Topics: Transforming Organizations with AI, Improving decision intelligence through data storytelling, Building data science teams that deliver business value
Ganes Kesari
Points
Academic
100
Author
593
Influencer
145
Speaker
174
Entrepreneur
120
Total
1132
Points based upon Thinkers360 patent-pending algorithm.
Ganes is an Adjunct Faculty at the Martin Tuchman School of Management at the New Jersey Institute of Technology. He teaches a Business analytics course.
Storytelling in the Generative AI Era
MIT Sloan
January 17, 2024
Today, generative artificial intelligence tools like ChatGPT and Gemini perform an impressive set of tasks with just a few simple prompts. They interpret even poorly formed user questions, identify deep domain insights from data, and share answers as well-structured recommendations. Increasingly, these exchanges are getting conversational, using text-to-speech AI technology.
A Digital Revolution: How Smart Devices and Digital Biomarkers are Transforming Healthcare
Import from wordpress feed
September 14, 2023
Imagine this: What if our everyday devices could help monitor our health, enabling early disease detection and management? What once seemed the stuff of science fiction is rapidly becoming a reality, thanks to the rise of digital biomarkers and smart devices. In the era of Morse codes during World W
3 ways Low-code Data Science platforms address MLOps challenges
Medium
March 18, 2023
Organizations across industries are turning to data and analytics to solve business challenges. A survey by New Vantage Partners found that 91 percent of enterprises have invested in AI. However, the same study found that just 26 percent of these firms have AI in widespread production.
How AI Is Using Facial Detection To Spot Rare Diseases In Children
Medium
February 28, 2023
Andrew was playing under the summer sun in the backyard. As the four-year-old’s parents watched, they noticed something seemed off. Perhaps it was his unusually small head or the after-effects of the surgery to correct his congenital disorder.
3 Practical Strategies For Advancing Your Career In AI
Medium
January 28, 2023
Artificial Intelligence (AI) is disrupting businesses and job roles in every industry, causing concerns about long-term job security for low-skill manual jobs and management roles alike.
5 Critical Roles That Every Data Science Team Must Hire
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January 14, 2023
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: 5 Fabulous Roles That Every Data Science Team Must Hire Building a data science product is quite like constructing your home. Using this analogy let’s look at the five roles and skills that the best data scien
8 Critical Steps To Get Your Team To Adopt AI
Import from wordpress feed 2
December 31, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: 8 Critical Steps To Get Your Team To Adopt AI A Telecom major was grappling with high customer attrition. The firm was one of the largest Telecom companies in the world and a market leader in Asia.
AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions
Forbes
December 22, 2022
What are the top AI trends and fads for 2023? What’s one thing business leaders must stop doing to unlock business value from AI? Hear predictions from 10 experts, including ChatGPT AI!
3 Surprisingly common ways leaders fail their AI projects
Linkedin
December 19, 2022
I. Spotlight: 3 Surprisingly common ways leaders fail their Artificial Intelligence (AI) projects
How do most organizations begin their Artificial Intelligence (AI) journey?
Let’s look at how leaders of some large enterprises planned their foray into AI. Here are a couple of examples from McKinsey:
3 Surprisingly common ways leaders fail their AI projects
Import from wordpress feed 2
December 17, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: 3 ways leaders fail their Artificial Intelligence (AI) projects👎 How do most organizations begin their Artificial Intelligence (AI) journey? Let’s look at how leaders of some large enterprises planned their for
The 3 Disciplines You Absolutely Need To *Succeed* In Any Data Science Project️
Import from wordpress feed 2
November 26, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: The 3 Disciples You Absolutely Need To *Succeed* ✌️In Any Data Science Project Digital transformation is the flavor of the season. Every company has accelerated its efforts to digitize operations, gather intelli
3 Data Analytics Challenges and How Decision Intelligence Can Help You Tackle Them
ATSCALE
November 22, 2022
Today, most organizations believe in the power of data and analytics. Almost every executive aspires to build a data-driven organization. However, a survey by New Vantage Partners found that just 26.5% of companies have done so successfully.
4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare️
Import from wordpress feed 2
November 12, 2022
Hello, This newsletter will take you about 4 minutes to read.Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work. I. Spotlight: 4 Reasons Why Digital Biomarkers Are Game-Changers In Healthcare⚕️ During World War II, commanders and troop
How You Can Unlock Decision Intelligence At Scale by Aligning BI with AI
Atscale
November 08, 2022
Recently, I was talking to the head of technology at a retail conglomerate. The executive was actively planning his foray into data science and asked me, “How can we make the transition from business intelligence (BI) to artificial intelligence (AI)?” The question made me uneasy.
How AI is disrupting the anonymization of Clinical Trial Submissions
LinkedIn
November 04, 2022
We’re back on schedule with the newsletter editions published in September and October!
I’ve been traveling the past month — attending a CDAO conference, talking at a leadership summit, and meeting with clients and network connections. And, I’ve been thoroughly enjoying the in-person vibes.
How AI Is Helping Anonymize Clinical Trial Submissions
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October 30, 2022
Hello, This newsletter will take you about 4 minutes to read. Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work. I. Spotlight: How AI Is Helping Anonymize Clinical Trial Submissions 🧪 We’re seeing a record number of data breaches ove
How NGOscan leverage AI without breaking the bank
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October 20, 2022
Hello, This newsletter will take you about 4 minutes to read. I. Spotlight: How NGOs🦏can leverage AI without breaking the bank When you think of the kinds of organizations leveraging artificial intelligence (AI), non-government or non-profit organizations (NGOs), do not spring to mind.
How To Implement Decision Intelligence in Your Enterprise With A Semantic Layer
AtScale
October 20, 2022
This article covers a step-by-step approach to implement DI and highlights fundamental principles from each discipline with an industry example. It'll also discuss how a semantic layer helps orchestrate DI at scale across businesses.
The 5 Steps Every Analytics Team Must Use To Identify ROI-Positive Projects
Import from wordpress feed 2
September 29, 2022
Hello, This newsletter will take you about 4 minutes to read. Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work.Thanks for reading Our Data-driven Future! Subscribe for free to receive new posts and support my work.
Want To Get Your Team To Adopt AI? Follow These 8 Critical Steps For Success
Forbes
September 29, 2022
Despite millions of dollars invested in AI, most industry projects never get adopted. Here are the four stages and eight steps to dramatically improve the adoption of your data science solution.
What are the 3 Stages where your Data Science Teams might Fail?
Import from wordpress feed 2
September 18, 2022
Hello, 👋 Long time, I know! The last time I sent you this newsletter was in May, after a 2-month break - the longest till then. Then came a 4-month pause. I’m back again and hope to be third-time lucky🤞 Not just hoping, but have been planning for this. Let’s resume our ch
3 Reasons Why You Need Low-code Platforms For Data Science Solutions
Import from medium.com
September 06, 2022
Low-code ML applications help address the challenges of model maintenance, time-to-market, and talent shortageContinue reading on Towards Data Science »
How AI Is Helping Anonymize Clinical Trial Submissions
Import from forbes.com
August 31, 2022
Anonymization of clinical trial submissions is tricky and risks regulatory penalties. Here’s how AI can help protect patient data privacy while ensuring transparency.
Founder & CEO | Advisor, Trainer, Public Speaker, and Author
Ganes Kesari
February 01, 2022
Innovation Titan logo
Founder & CEO | Advisor, Trainer, Public Speaker, and AuthorFounder & CEO | Advisor, Trainer, Public Speaker, and Author
Innovation TitanInnovation Titan
Feb 2022 - Present · 10 mosFeb 2022 - Present · 10 mos
New Jersey, United StatesNew Jersey, United States
I founded Innovation Titan to help leaders of small & medium-sized businesses transform their organizations by scaling data-driven decisions. Here are the three ways I deliver impact:
1) Advisory: Play the role of a fractional data executive to help your organization strategize, execute, and realize benefits from data science. Partner with executives through advisory boards and coaching.
2) Executive Education: Run data-driven leadership workshops and corporate training for leaders on building a data-driven organization. Teach courses at US universities and on educational platforms to demystify decision intelligence for emerging leaders.
3) Writing: Craft compelling content such as whitepapers, e-books, articles, and case studies to story-tell enterprise value from analytics for internal and external stakeholders.
Co-founder & Chief Decision Scientist
Ganes Kesari
September 02, 2011
Leading our Client Advisory and Innovation practices
• Setup Advisory practice to help clients with data science strategy, teams, and data culture
• Lead Innovation at AI Labs and Story Labs. Experimenting with machine learning and data storytelling for novel business applications
Transform Your Brand’s Customer Experience Using AI
INBOUND
December 10, 2019
Many enterprises use archaic approaches to digital listening and VOC programs that fall short on depth of intelligence and actionability. With live case studies, we'll see how data science is transforming Customer Experience using public and internal data sources to build an integrated view of the customer. State-of-the-art AI models use advances in speech processing, text analytics, and computer vision to build a digital persona of individual users. By piecing together interactions over time and across channels such as structured survey responses, text chatter, and contact center conversations, marketers can now understand what the customer really wants.
Key Takeaways
- Practical learnings from vendor-neutral, real-life case studies. Understand the implementation challenges and approaches to successful adoption
- Understand best practices in social listening and voice of customer programs that present a reimagined world of the customer and their priorities, with the help of data
- Introduction to advanced analytics techniques in text analytics, speech processing, and computer vision that are relevant for customer experience
Saving our Planet’s Biodiversity with AI | Ganes Kesari | TEDxAsburyPark
TEDxAsburyPark
July 15, 2019
The global environmental crisis and rapid depletion of our flora and fauna have triggered Earth’s sixth mass extinction. Pushed to the brink of disaster, our natural world is in total chaos. As we scramble for solutions, Artificial Intelligence has shown up as an unlikely savior.
AI for Social Good: Saving the planet through data science
O'Reilly Strata Data Conference
April 30, 2019
Global environmental challenges have pushed our planet to the brink of disaster. Rapid advances in deep learning are placing immense power in the hands of consumers and enterprises. This talk explains how the power can be marshaled to support environmental groups and researchers who need immediate assistance to address the rapid depletion of our rich biodiversity.
Improving consumer journey and experience leveraging customer intelligence – A podcast with IBM
IBM
March 18, 2020
Gramener’s Co-founder and Head of Analytics, Ganes Kesari, joined Alex LePage (Senior Product Marketing Director, Marketing Solutions at Neustar) on the IBM ThinkLeaders podcast to discuss how can brands gather meaningful insights about customer behavior to improve decision making.
Saving Penguins with AI [Podcast with Intel]
Intel
March 06, 2020
Gramener’s Co-founder and Head of Analytics, Ganes Kesari, joined the Intel on AI podcast to discuss how Gramener has created a crowd counting solution to overcome the challenge of counting penguins in Antarctica.
The Role of AI in Saving Our Biodiversity [Podcast]
TED
February 12, 2020
Listen to an amazing 15-min podcast on how data and AI are helping save biodiversity. In this podcast, Ganes Kesari, Gramener’s Chief Decision Scientist, talks with TEDxAsburyPark volunteer Mohamed El-Sayed on various schemes and technology solutions to help not-for-profit organizations save biodiversity.
Industry Mentor
Rutgers School of Communication & Information
November 06, 2021
Rutgers Mingle 2021 - Mentored students and led the session on Data Science Career path at the Rutgers School of Communication & Information Mingle in Nov 2021
Penn State Industry project - Mentored Penn State students in the Nittany AI Industry project conducted for the Center for Medical Innovation, for 14 weeks from Sep to Dec 2021.
Culture, Trust, Tech: Building an AI Powered Blueprint for Today's Enterprise
NASSCOMVideos
May 28, 2020
Artificial Intelligence is clearly one of the dominant forces that are thriving in today’s crisis. With a lot of organizations & business leaders looking to accelerate adoption, they will need an AI framework. This session will define the elements needed in the AI blueprint with today’s context.
Successful Frameworks for Scaling Data Maturity
DataFramed
November 15, 2022
To become a data-driven organization, it takes a major shift in mindset and culture, investments in technology and infrastructure, skills transformation, and clearly evangelizing the usefulness of using data to drive better decision-making.
With all of these levers to scale, many organizations get stuck early in their data transformation journey, not knowing what to prioritize and how. In this episode, Ganes Kesari joins the show to share the frameworks and processes that organizations can follow to become data-driven, measure their data maturity, and win stakeholder support across the organization.
Ganes is Co-Founder and Chief Decision Scientist at Gramener, which helps companies make data-driven decisions through powerful data stories and analytics. He is an expert in data, analytics, organizational strategy, and hands-on execution. Throughout his 20-year career, Ganes has become an internationally-renowned speaker and has been published in Forbes, Entrepreneur, and has become a thought leader in Data Science.
Throughout the episode, we talk about how organizations can scale their data maturity, how to build an effective data science roadmap, how to successfully navigate the skills and people components of data maturity, and much more
Ganes Kesari · Co-founder & Chief Decision Scientist at Gramener // Bedrock @ LAPIPA_Studios
Bedrock
August 11, 2021
In this new episode, Jesús talks to Ganes Kesari, Co-founder and Chief Decision Scientist at Gramener. He is an entrepreneur, AI thought leader, author, and TEDx speaker. Ganes advises executives of large organizations on data-driven decision making. His expertise lies in the application of data science to solve business challenges, and in building teams to promote a culture of data.
Low-Code Data Science Solutions and Business ROI - Ganes Kesari
Minhaaj Rehman
June 20, 2021
This week I'll sit down with Ganes Kesari, Chief Decision Scientist at Gramener, the company behind Gramex and an innovative rising star. Ganes is a contributor in leading magazines such as Forbes, TechCrunch, Entrepreneur, and The Enterprisers Project. He won the 2020 CSuite Award for best blog by a business leader. He has taught at Princeton University and Indian Business School and has been invited to speak at TED, O'Reilly Strata, Microsoft, and Intel events.
E168 Ganes Kesari, Co-Founder and Chief Decision Scientist at Gramener
Alldus
January 25, 2021
"Welcome to episode 168 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe."
Tech Top 6 – BONUS – Ganes Kesari Interview – 2021 AI/ML Perspective
Small World Big Data
January 15, 2021
We featured a tech article by Ganes Kesari this week on Covid accelerating AI/ML adoption in 2020/2021. Here is our full entertaining interview with Ganes on AI/ML and more of his perspectives on why and how IT should approach AI/ML projects in 2021. Well worth a listen if you either wonder or worry about the magic of AI, and what is the best way to initiate and drive ML projects to get a positive ROI.
The 5 roles that every data science team must hire for
The Federal
December 28, 2020
Building a data science product for your business is quite like building your home. Using this analogy, Ganes Kesari, chief decision scientist at https://gramener.com/ (Profile - https://www.linkedin.com/in/gkesari/), looks at the five roles and skills that the best data science teams look for when they hire
Technique isn't everything with data problems
Diffbot
November 03, 2020
In this DataBytes netcast we meet with Ganes Kesari, co-founder and chief decision scientist at Gramener, TEDx speaker, Forbes contributor and writer.
We tackle issues including not stepping back and finding the business problem before you find your data problem. What's missing when data professionals focus purely on technique. And Ganes' time building Gramener over the last decade.
How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects
designingforanalytics.com
January 28, 2020
Join Ganes and I as we talk about how design, as a core competency, has enabled Gramener’s analytics and machine learning work to produce better value for clients.
Data Scientists and Social Scientists Need Each Other
The Sociable
December 16, 2019
Many of us think that our brains are hardwired for numbers or words; for natural science or social science. This week's Brains Byte Back episode challenges this assumption.
Our guests on this episode are Ganes Kesari, Head of Analytics at Gramener, and Briana Brownell, Founder and CEO at Pure Strategy Inc.
Gramener Image Recognition and Intel AI Saving Antarctic Penguins
Intel
October 23, 2019
Counting and identifying characteristics of crowds can provide organizations with a lot of valuable insights. Yet challenges like image distortion, density, and different camera angles can make analyzing images accurately very challenging. Ganes Kesari, Co-founder and Head of Analytics at Gramener, joins the Intel on AI podcast to discuss how Gramener has created a crowd counting solution that can overcome those challenges and produce a very rapid and accurate analysis of images. He talks about how Gramener has utilized this solution for several AI for good projects including a joint effort with Microsoft* to count Antarctic penguin colonies. Ganes explains how their solution used convolutional neural networks (CNNs) using density-based estimations to deliver a more accurate penguin count than traditional manual counting methods. He also emphasized how benchmarking the solution on Intel AI technology and the Intel Optimization for PyTorch* helped Gramener achieve comparable performance at a potentially lower computational cost. In addition to AI for good projects, Ganes also outlines how this same solution can also be utilized for other enterprise opportunities like drug discovery and how Gramener will continue to collaborate with Intel to provide better optimizations and performance for its customers. To learn more, visit gramener.com/.
Leveraging customer intelligence for a better consumer journey
IBM Thinkleaders
June 28, 2019
How can brands gather meaningful insights about customer behavior to improve decision making? Can we stitch together these insights across the customer journey? How does a brand have an authentic exchange of value with a consumer? In this episode of IBM thinkLeaders, we are joined by Alex LePage (Senior Product Marketing Director, Marketing Solutions at Neustar) and Ganes Kesari (Co-founder & Head of Analytics at Gramener). We talk to Alex and Ganes about whether a customer can have a seamless journey in an omnichannel world, the power of marketing teaming up with data science for cross-functional expertise, and how to turn a happy customer into a promoter for the brand. We also dig into the recently announced Dashboard act (regarding data monetization) and the fine line between creepy and useful with retargeting.
Project Management Careers in Data Science
slideshare
October 31, 2022
This slide deck was used in the presentation made to the Project Management Institute (PMI) Metrolina Chapter on September 28, 2022.
Title:
Top Data Science Career Opportunities For Project Managers
- Art of the Possible with Data Science
- Industry case studies
Data & Analytics 101 for PMs: Key disciplines and terminologies
- Top roles in data analytics
- Project Management in Data Science
Takeaways:
- How managers influence D&A project outcomes
- Key responsibilities & tips for success
- Industry examples: Challenges and learnings
Penn State Guest Lecture: Business Forecasting in Real Life
slideshare
November 30, 2021
This deck was used in the guest lecture conducted at the Penn State College of Information Sciences and Technology. The session was delivered by Thanoj Kattamanchi and Ganes Kesari on November 30th, 2021.
Session Abstract:
What are the most common applications of forecasting techniques? This talk will share several industry case studies on forecasting. It will dive into the details of how a large agricultural conglomerate adopted price forecasting to achieve a revenue uplift of 3.2%. The session will cover the step-by-step approach adopted by the client, from business problem definition, data identification, variable selection, model evaluation, to deployment. It will conclude by sharing the top lessons learned and guidelines for aspiring data scientists considering a career in building machine learning applications.
500 startups cognitive bias in decision making
slideshare
November 18, 2021
What are the most common cognitive biases that impact leaders? How can early-stage startups lay a foundation for data-driven decisions?
In this fireside chat for 500 Startups, I addressed startup founders on how to champion good data stewardship, embed it in product development, and ensure organizational ROI from data.
RBS Guest Lecture - Actionable Customer Intelligence with Journey Mapping
slideshare
July 10, 2021
This deck was used in the guest lecture delivered by Ganes at the Rutgers Business School, New Jersey, on July 7th, 2021. These slides were supplemented with a live business case that was used for the class discussion.
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
How AI can help you make your Audience Sit up and take Notice
Import from wordpress feed
June 16, 2020
This session was delivered in the IABC World Conference 2020, on June 15.
https://wc.iabc.com/sessions/
Session Abstract:
How do you cut through the clutter and connect with your audience? Can data make your message more credible? Can analytics help you craft compelling content? How can
What's the Value of Data Science for Organizations: Tips for Invincibility in your Data Science Career
Import from wordpress feed
April 30, 2020
This session was delivered as an Open Colloquium on Apr 30th 2020 for the Master in Information program students. It was organized by the Rutgers School of Communication & Information.
The session covers 3 themes:
- How do enterprises and not-for-profit organizations gain value from d
Transform your Brand's Customer Experience by using AI
Import from wordpress feed
January 24, 2020
This deck was used in the presentation at the Concentric 2020 conference, on Jan 24th, 2020.
SESSION BRIEF:
Most organizations struggle to understand their customers. In a digital world, the power of data and technology is not tapped into. So, customer advocacy initiatives are short-sight
How Data Science can help Understand your Customers Better
slideshare
September 18, 2019
This was presented at the AT&T Retirees Quarterly ELATE Luncheon, on Sep 18th, 2019.
SESSION BRIEF:
Most organizations struggle to understand their customers. In a digital world, the power of data and technology is not tapped into. So, customer advocacy initiatives are short-sighted, transactional and unscientific. This session will show how organizations can listen to customers better. It will introduce you to AI techniques that are revolutionizing customer intelligence.
With examples, you will understand how these insights can be translated into business decisions.
LEARNING OBJECTIVES:
1. You will learn creative ways to find what customers are looking for right now
2. You will be introduced to advanced analytics techniques and storytelling with data
3. You will understand how data science can be applied for business decisions
Why is it difficult to achieve strategic differentiation using AI
slideshare
September 13, 2019
This deck was presented at ICC 2019, the ISACA Chennai Conference, by Ganes Kesari.
Session Abstract:
Today, every organization is trying to make their business AI-ready. However, industry reports claim that “80% of data science projects will not deliver value”. While the destination is clear, the path to be taken isn’t obvious.
Companies struggle with several questions: How to lay out a robust data science roadmap? What skills do you need to hire for? How do AI models translate to business value? How to sustain a culture of innovation and insight?
This session will answer these questions and show how organizations can apply AI at scale. It achieves the following learning objectives:
* How to align data science with the organization’s strategic objectives?
* How to setup and scale teams?
* What organizational structures help deliver business value with AI?
Cognitive Biases in Decision Making
500 Global
November 10, 2021
Join us for a fireside chat with Ganes Kesari, Chief Decision Maker at Gramener and a regular contributor to Forbes on ethical AI. Ganes will be discussing why deeply understanding good data stewardship matters for early-stage startups, getting the foundations in place to enable meaningful consumption of data over the long-term, how leaders can overcome cognitive bias in decision making and champion good data stewardship from the early stages, and suggesting questions to embed in the product development process to eventually ensure you're getting ROI from data.
Transform Your Brand’s Customer Experience by Using AI
Delta CX
February 02, 2020
This session introduces the best practices in managing Customer Experience through advanced analytics and AI. Staying vendor-neutral, it presents the latest approaches using real-life case studies.
It shows how organizations can gain an integrated view of the customer. By combining listening channels such as social media, voice-of-customer and contact center interactions, it shows how to:
* Identify the right data sources to capture user inputs
* Apply AI through language models to understand customer intent
* Present an integrated view of the customer to recommend executive decisions
Transform Your Brand’s Customer Experience Using AI (INBOUND, Boston)
Ganes Kesari
December 10, 2019
Many enterprises use archaic approaches to digital listening and VOC programs that fall short on depth of intelligence and actionability. With live case studies, we'll see how data science is transforming Customer Experience using public and internal data sources to build an integrated view of the customer. State-of-the-art AI models use advances in speech processing, text analytics, and computer vision to build a digital persona of individual users. By piecing together interactions over time and across channels such as structured survey responses, text chatter, and contact center conversations, marketers can now understand what the customer really wants.
Key Takeaways
- Practical learnings from vendor-neutral, real-life case studies. Understand the implementation challenges and approaches to successful adoption
- Understand best practices in social listening and voice of customer programs that present a reimagined world of the customer and their priorities, with the help of data
- Introduction to advanced analytics techniques in text analytics, speech processing, and computer vision that are relevant for customer experience
Saving Antarctic Penguins with Deep Learning
Intel
November 05, 2019
This talk will provide a background of crowd counting and share the pros & cons of the approaches. It will present a real-world application in the biodiversity conservation space. We will see how AI helped count penguin populations in Antarctica, using time-lapse pictures from camera traps. The implementation challenges faced and the approach used to address them would be discussed.
Predicting the Quality of Life from Satellite Imagery
O'Reilly AI Conference
October 17, 2019
In large developing countries like India, it’s tough to base policy decisions on data. Of a population of 1.3 billion, 70% reside in rural areas with minimal digital trails. Large governmental initiatives such as the national census are collected once every 10 years. Despite the best of intentions, they aren’t comprehensive and quickly get out of sync with reality.
Ganes Kesari explores how satellite imagery offers an alternate ground truth that’s accurate at high resolution, available across periods as a time series, easily accessible, and is relatively inexpensive. While this is a rich source of visual information, the challenge has been in processing images and generating useful insights. The advances in deep learning have helped solve this last hurdle, placing enormous power in people’s hands and paving the way for socioeconomic data analytics.
Saving our Planet’s Biodiversity with AI
TEDx Talks
July 15, 2019
The global environmental crisis and rapid depletion of our flora and fauna have triggered Earth’s sixth mass extinction. Pushed to the brink of disaster, our natural world is in total chaos. As we scramble for solutions, Artificial Intelligence has shown up as an unlikely savior.
AI is busy at work saving our world, paradoxically, from our own hands. Starting with a simple explanation of the technology, this talk will showcase the revolutionary work being done using AI to save endangered species in our forests and oceans. Along with a future outlook, we’ll see how everyone can contribute. learn more at TEDxAsburyPark.com
Counting the World with AI Models
Anaconda, Inc.
April 24, 2019
Cascaded Convolutional Neural Networks offer an excellent alternative to traditional crowd-counting methods and detection- or regression-based models. CNNs use density-based estimations to preserve spatial information and can localize the count, while also estimating the overall tally. They also capture both global and local features with remarkable accuracy. This talk covers three business case studies: Counting marketing conversions by estimating in-store footfalls, counting the Antarctic penguins from camera trap images, and counting the number of cells in microscopic images.
Applied Machine Learning is Reinventing Human Resources
Bots and AI Meetup
December 03, 2018
Every organization, large or small faces complex challenges with the building, managing and retention of teams. With the ready availability of rich, streaming data at the disposal of most organizations, this needn’t be so difficult. This talk will showcase some of the practical applications of machine learning to tackle HR challenges in organization. Past work done in this area by Gramener will be presented as real-world case studies to showcase the potential, approach and benefits
Ganes Kesari is a co-founder at Gramener (https://gramener.com), where he heads Analytics and AI Labs. Ganes advises businesses on deriving value from data science. He is passionate about the confluence of machine learning, information design, and data-driven decision making.
Making sense of Big data: Visual Story Telling
Ganes Kesari
December 06, 2014
How do you cut the Big Data clutter and tell interesting, insightful and impacting stories? This session talks about the need for Data Visualization & how Visual stories can come to the aid of the Big Data problem associated with meaningful consumption. The point is illustrated by leveraging several industry case studies.
‘Business Forecasting in Real Life’
Penn State Outreach
August 20, 2021
Conducted a guest lecture on ‘Business Forecasting in Real Life’ for the graduate
students of the Capstone Project Course at our College of Information Sciences and
Technology (IST).
How to Launch your OKRs, First Time Right
Profit OKR Software
April 28, 2022
In this video, listen to some of the most experienced OKR practitioners who have helped hundreds of startups and blue-chip clients successfully execute their OKR programs. Find out OKR best practices, and red flags to watch out for when executing your OKR program for the first time.
How to Launch your OKRs, First Time Right
Profit OKR Software
April 27, 2022
In this video, listen to some of the most experienced OKR practitioners who have helped hundreds of startups and blue-chip clients successfully execute their OKR programs. Find out OKR best practices, and red flags to watch out for when executing your OKR program for the first time.
Optimizing Your Schedules to Maximize Opening Hours
Workforce
December 03, 2021
Discovering new tactics to stretch employee’s hours in the most efficient, labor-cost effective way has been on top of mind for operations and managers over the past 12 months. The Great Resignation has forced many to use time-consuming scheduling methods in order to make sure standard, day-to-day operations can still run. Technology-driven solutions have quickly become the best, most sought after method in combating the staffing shortage and ensuring doors stay open during peak business hours.
Cognitive Biases in Decision Making
500 Global
November 18, 2021
Join us for a fireside chat with Ganes Kesari, Chief Decision Maker at Gramener and a regular contributor to Forbes on ethical AI. Ganes will be discussing why deeply understanding good data stewardship matters for early-stage startups, getting the foundations in place to enable meaningful consumption of data over the long-term, how leaders can overcome cognitive bias in decision making and champion good data stewardship from the early stages, and suggesting questions to embed in the product development process to eventually ensure you're getting ROI from data.
5 Steps to Measure ROI on Your Data Science Initiatives
Gramener
July 23, 2021
"Around 79% of companies report negative or no ROI because they do not have the systems to measure their returns".
This webinar highlighted an easy step-by-step process that every business leader can use to quantify value from their data initiatives. It also shed light on how the industry measures returns from data investments and how long it typically takes for breakeven.
After this webinar you'll learn:
1. A clear methodology that you can use to calculate ROI from your data projects.
2. Useful industry benchmarking on typical payback from data initiatives.
How to Build a Successful Data Science Roadmap
Gramener
July 01, 2021
This webinar will show you the best place to get started. With industry examples, you will learn a simple step-by-step approach to unlock business value. Find what it takes to convince and onboard your technology and business teams for the next best project.
5 Steps to Transform Into a Data-Driven Organization
Gramener
June 09, 2021
Digital transformation is a buzzword in office corridors. However, an organization faces several challenges to become a data-driven organization that can successfully achieve its digital transformation goals.
In this webinar, Ganes Kesari, Chief Data Scientist - Gramener, discusses the five steps organizations can take to overcome their data maturity hurdles and move up the ladder. In the process, he shares tips and tools that can help organizations in their data journey.
5 Steps to Transform Into a Data-Driven Organization
Gramener
May 27, 2021
Digital transformation is a buzzword in office corridors. However, an organization faces several challenges to become a data-driven organization that can successfully achieve its digital transformation goals.
In this webinar, Ganes Kesari, Chief Data Scientist - Gramener, discusses the five steps organizations can take to overcome their data maturity hurdles and move up the ladder. In the process, he shares tips and tools that can help organizations in their data journey.
How AI can help you make your Audience Sit up and take Notice
IABC
June 15, 2020
How do you cut through the clutter and connect with your audience? Can data make your message more credible? Can analytics help you craft compelling content? How can AI help understand your audience’s response? Today there is an over-abundance of information and a paucity of meaningful communication. Data and analytics can be invaluable aids in communication.
Details:
This session will cover four ways to enable this:
Sourcing data to develop your idea: An idea becomes credible when backed by data. But where do you find the data? We’ll see how to get creative with public data sources.
Taking the help of AI to build your narrative: AI needn’t be terrifying. With the open tools available, it can be a powerful aid in discovering insights and building a narrative
Adopting storytelling to craft your message: A set of simple yet powerful principles can transform ordinary messages into powerful stories.
Using content analytics to establish a feedback loop: Analyze your content and audience response in the form of text, video, and audio to get vital clues for improvement.
This session will have live polls for audience feedback and there will be short exercises to absorb the content from each module.
You’ll learn:
How to find data to support your idea.
Which AI tools and techniques can help develop your idea.
How to establish a content analytics feedback loop to learn and improve.
How to Structure Your Data Science Teams for Best Outcomes
Gramener
June 05, 2020
In this webinar you will learn:
1. Why teams work in silos in data analytics & visualization projects?
2. What organization structures are right for data science?
3. How should you evolve the org structure as you mature in your data journey?
4. Best practices to foster collaboration amongst teams in data projects
How Brands can use AI for Actionable Customer Intelligence
Ganes Kesari
December 07, 2019
Most organizations struggle to understand their customers. In a digital world, the power of data and technology is not tapped into. So, customer advocacy initiatives are short-sighted, transactional and unscientific. This session will show how organizations can listen to customers better. It will introduce you to AI techniques that are revolutionizing customer intelligence.
With examples, you will understand how these insights can be translated into business decisions.
How Data Science can help Understand your Customers Better
Ganes Kesari
September 18, 2019
SESSION BRIEF:
Most organizations struggle to understand their customers. In a digital world, the power of data and technology is not tapped into. So, customer advocacy initiatives are short-sighted, transactional and unscientific. This session will show how organizations can listen to customers better. It will introduce you to AI techniques that are revolutionizing customer intelligence.
With examples, you will understand how these insights can be translated into business decisions.
LEARNING OBJECTIVES:
1. You will learn creative ways to find what customers are looking for right now
2. You will be introduced to advanced analytics techniques and storytelling with data
3. You will understand how data science can be applied for business decisions
Deep Learning Applications in the Enterprise
Ganes Kesari
October 27, 2018
An introduction to Deep learning with a walkthrough of its application to business problems across a variety of areas. Case studies range from detection of animals to celebrities, classification of biodiversity to emotions and counting of crowds to coconuts.
Deck presented by Ganes Kesari B at the NJ Data Science Meeting, on 27th Oct 2018
How a Semantic Layer Can Help You Tell Better Data Stories
Atscale
June 01, 2022
Stories are powerful. Data stories bring insights to life. “Numbers have an important story to tell,” said Stephen Few, a data visualization expert. However, “they rely on you to give them a clear and convincing voice,” he added. Data stories pack insights from data and deliver them in a way that engages your audience and moves them to action.
Data in most organizations is found across multiple sources – data warehouses, data lakes, and multiple siloed locations. Analysts tap into data from across these sources ad-hoc and then use custom analytical techniques to identify insights. The business metrics are computed based on rules and formulae that the analysts manually collect from the various business users they serve.
This white paper will explain how the AtScale Semantic Layer is a solution to this problem. It’s how companies create data stories with a backend setup to prepare the data, perform analytics, and craft data stories that are accessible across an organization.
Structuring Data Science Teams
Gramener
January 20, 2021
This whitepaper demystifies the structuring of data science teams for Technology leadership roles like Chief Information Officer, Chief Data Officer, and Chief Analytics Officer.
What you will take away:
The two most common ways of structuring data science teams: centralized and decentralized
The hub-and-spoke hybrid model
5 best practices to promote collaboration within teams
Building Data Science Teams for Business ROI
Gramener
December 24, 2020
"Data Scientist" isn't the only role that you need in your data science team. Data science is a team sport, and every team needs five primary roles and skills to deliver business value. Each of the five roles is detailed out in this whitepaper with their associated responsibilities and skills required.
What you will take away:
The three phases that are essential to convert data to business decisions
The 5 key roles and 3 emerging roles for data science teams
Should you hire from the market or upskill your existing team?
Building Data Science Teams for Business ROI
Gramener
November 24, 2020
"Data Scientist" isn't the only role that you need in your data science team. Data science is a team sport, and every team needs five primary roles and skills to deliver business value. Each of the five roles is detailed out in this whitepaper with their associated responsibilities and skills required.
What you will take away:
The three phases that are essential to convert data to business decisions
The 5 key roles and 3 emerging roles for data science teams
Should you hire from the market or upskill your existing team?
Map-based Data Visualization
National Institute of Design
February 01, 2016
The one-day session was organised for the 2nd year students of Master of Design (M. Des.) course specialising in ‘Information Design’. The workshop was on “Visual data representation & design of effective Business Dashboards”.
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Storytelling in the Generative AI Era
3 ways Low-code Data Science platforms address MLOps challenges
How AI Is Using Facial Detection To Spot Rare Diseases In Children
3 Practical Strategies For Advancing Your Career In AI
5 Critical Roles That Every Data Science Team Must Hire
8 Critical Steps To Get Your Team To Adopt AI
AI Trends For 2023: Industry Experts (And ChatGPT AI) Make Their Predictions
3 Surprisingly common ways leaders fail their AI projects
3 Data Analytics Challenges and How Decision Intelligence Can Help You Tackle Them
How You Can Unlock Decision Intelligence At Scale by Aligning BI with AI
How AI is disrupting the anonymization of Clinical Trial Submissions
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Want To Get Your Team To Adopt AI? Follow These 8 Critical Steps For Success
3 Reasons Why You Need Low-code Platforms For Data Science Solutions
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Make AI & BI Work At Scale
CSuite Digital Leadership Award
Improving consumer journey and experience leveraging customer intelligence – A podcast with IBM
Saving Penguins with AI [Podcast with Intel]
The Role of AI in Saving Our Biodiversity [Podcast]
Industry Mentor
Successful Frameworks for Scaling Data Maturity
Project Management Careers in Data Science
How AI Can Help Anonymize Clinical Trial Data
Penn State Guest Lecture: Business Forecasting in Real Life
500 startups cognitive bias in decision making
RBS Guest Lecture - Actionable Customer Intelligence with Journey Mapping
AI - Savior or Supervillain?
5 Steps to Transform into a Data-Driven Organization
Applications of AI in Supply Chain Management: Hype versus Reality
How AI can Save Lives with the Help of Satellite Imagery
What Really is AI and How will it Shape our Future?
How AI can help you make your Audience Sit up and take Notice
How to Structure your Data Science Teams for Best Outcomes
'Recession-proofing' your Business with Data
What's the Value of Data Science for Organizations: Tips for Invincibility in your Data Science Career
How Brands can use AI for Actionable Customer Intelligence
Transform your Brand's Customer Experience by using AI
How to Build Data Science Teams
The Best Way to Choose your Data Science Projects
How Data Science can help Understand your Customers Better
Why is it difficult to achieve strategic differentiation using AI
How Organizations can gain Strategic Advantage when Everyone is applying AI
How to Build Data Science Teams that Deliver Business Value
AI for Social Good - Saving the Planet with Data Science
Smart Contract Risk Identification with AI
