← Back to Articles
All DataCamp Events: Insights on Data and AI from Industry Leaders

All DataCamp Events: Insights on Data and AI from Industry Leaders

datacampdata-analysisdata-scienceaionline-event

Hi everyone! I’m excited to share a curated collection of industry-leading online events I attended through DataCamp. In the rapidly evolving landscape of 2026, the insights from these sessions—featuring leaders from companies like Microsoft, Google, and NVIDIA—remain essential for anyone navigating the world of Data and AI.

I treat this article as a living resource; I will keep updating it with every new summit and session I attend. Whether you are looking for AI strategy, data governance, or career growth, these takeaways are designed to help you stay ahead of the curve.

Why These Events Matter?
Each session below highlights top-tier speakers—a perfect opportunity to expand your network. Remember: Your network is your net worth. Click on the event titles to access the recordings and connect with the speakers via their LinkedIn profiles provided.

Disclosure: This article contains affiliate links at no extra cost to you.

Table of Contents

RADAR: AI x Human (01-Apr-26)

Recordings link: here

Sessions:

1- The Future of Education. This Time It's Personal! By Jonathan Cornelissen

2- Dismantling Org Design: Who Should Own AI in the Enterprise? By Vijay Kotu, Danielle Crop, Børge Obel, and Veronika Durgin

3- Easy Wins: How Non-Technical Teams Thrive with AI By Steve Rotter, Donna Beasley, and Jeff Depa

4- AI Upskilling with Purpose: Customer Success Stories By Emma Bennett and Amber Marcu

5- Building AI-Ready Teams: Skills, Mindsets, and Structures By Osama Elkady, Elisa Sai, Edward Calvesbert, and Thomas Bodenski

6- The Top Human Skills In An Agentic World By Arnnon Geshuri, Agi Garaba, Barbara Pender, andMatt Beane

7- What’s Next? Rethinking Analytics for the AI-Human Era By Jure Leskovec, Rami Krispin, and Jaya Gupta

8- Closing & AMA By Martijn Theuwissen and Jonathan Cornelissen

Back to Table of Contents

RADAR AI Edition (26-Jun-25)

Recordings link: here

Sessions:

1- Opening Session: The Age of Intelligence By Jonathan Cornelissen

2- AI Literacy in Action: Driving Workforce Transformation By Cindi Howson, Olympia Brikis, Andreas Horn, and Branden Wachtel

3- The Hottest AI Skills in 2025 By Jayeeta Putatunda, Aishwarya Naresh Reganti, Maria Vechtomova, and Sadie St. Lawrence

4- AI Upskilling: Lessons From the Frontlines By Amanda Myton, Jay Lauer, and Prajith Nair

5- Driving ROI with AI: Build AI Strategies That Scale By Ken Moore, Charlotte Werger, PhD, Eleanor Treharne-Jones, and Emin Can Turan

6- AI Agents Unpacked: Hype, Hope, or Real ROI? By Jerry Liu, Ram Sriharsha, Andriy Burkov, and Jun Qian

7- What’s Next for AI? Trends for 2025 and Beyond By Shaun Johnson, Nestor Maslej, and Adrian Estala

8- Closing Session & AMA By Martijn Theuwissen, Jonathan Cornelissen, and Cornelius Lejeune

Back to Table of Contents

RADAR Skills Edition (27-Mar-25)

Recordings link: here

Sessions:

1- Opening Session: Entering the Skills Era By Jonathan Cornelissen

2- AI Literacy at Scale: Building a Future-Ready Workforce By Conor Grennan, Jan Beger, Lauren Carpenter Kroes, and Bahareh R. Heravi

3- Building High Performing Data Engineering Teams By Daniel Avancini, Neha Tharani, and John Keane

4- Does Coding Have a Future in Data Science? By Dror Weiss, Immanuel Trummer, and Michael Berthold

5- Transforming AI Into Value: Driving Business Growth and ROI By Natasha Gray, Joyce J. Shen, and Christina Sandema

6- Building a Learning Culture in the Age of Generative AI By Abhijit Bhaduri, Oliver Patel, and Colleen Young

7- AI and the Workforce: How Will AI Reshape Data and Technology Roles? By Susan Metzger Gracia, Hjalmar Gislason, Mindy Shoss, and Keith McCormick

8- Bridging the Divide: Driving Product Sense in Data Teams By Marily Nika, Venky Veeraraghavan, and Vanessa Larco

9- Scaling Smart: Best Practices in Cloud Cost Management By Josh Klahr, Salim Syed, and Deepak Goyal

10- Building a Data Storytelling Culture By Nathan Makdad, Paulina Davila, Sorin Adam Matei, and Caroline Florence

11- Closing Session & AMA By Jonathan Cornelissen, Cornelius Lejeune, Maggie Remynse, and Ryan Meuse

Back to Table of Contents

RADAR: Forward Edition (13-Nov-24)

Recordings link: here

Sessions:

1- Welcome to Radar! By Jonathan Cornelissen

2- Data Science and Business Intelligence in 2025: How will AI Transform the Data Team? By Anjali Samani, PhD, Anushka Anand, PhD, and Laura Gent Felker

3- Cloud in 2025: What's Next for the Cloud? By Jeff Hollan, Teena Piccione, and Carolyn Duby

4- The Payoff: Turning 2024 Data & AI Investments ROI Positive in 2025 By Daniel Hulme, Tom Davenport, and Michelle Bonat

5- Learning in the Age of AI: How Will AI Reshape the L&D Function in 2025? By Eric Lagally, Chris Skees, and Amanda Bickerstaff

6- Artificial Intelligence in 2025: Will the Rocket Continue Climbing or Will the Bubble Burst? By Terry Sejnowski, Lin Qiao, and Arvind Narayanan

7- Closing Remarks & AMA By Cornelius Lejeune, Ryan Meuse, and Maggie Remynse

Back to Table of Contents

RADAR: AI Edition (26/27-Jun-2024)

Recordings link: here

Sessions:

1- Welcome to Radar! By Jonathan Cornelissen

2- Generative AI in Practice: 100+ Amazing Ways Generative AI is Changing Business and Society By Bernard Marr

3- From Learning to Earning: Navigating the AI Job Landscape By Alex Jaimes, Ph.D., Dmitry Shapiro, and Caryn T.

4- Generative AI: Trends, Impact, and Practical Applications for 2024 By Crissy Costa Behrens, Sandhya Venkatachalam, and Kleida Martiro

5- The High Cost of AI Hype By Eric Siegel

6- Building Tomorrow's Workforce, Today: Scaling Internal AI Academies By Mike Baylor, Carolann Diskin, and Gio Altamirano Rayo, J.D., Ph.D.

7- Scaling Data Quality in the Age of Generative AI By Barr Moses, @Prukalpa Sankar, and George Fraser

8- Building Trust in AI: Scaling Responsible AI Within Your Organization By Esther (Eske) Montoya Martinez van Egerschot, Haniyeh Mahmoudian, Ph.D, and Alexandra Ebert

9- Leading with AI: Leadership Insights on Driving Successful AI Transformation By Chandra Donelson, Dr. Semih Kumluk, and Amy Ritualo

10- The Future of Programming: Accelerating Coding Workflows with LLMs By Jordan Tigani, and Michele Catasta

11- Hugging Face and the Future of the Open Source AI Ecosystem By Julien SIMON

12- Building an AI Strategy: Key Steps for Aligning AI with Business Goals By Cindi Howson, Vin Vashishta, and Sonali Bhavsar

13- Charting the Path: What the Future Holds for Generative AI By Edo Liberty, Tomasz Tunguz, and Nick Elprin

14- Closing Session & AMA By Martijn Theuwissen, and Jonathan Cornelissen

Back to Table of Contents

RADAR: The Analytics Edition (21-Mar-2024)

Recordings link: here

Session:

1- Opening Session: A Tipping Point in Data Democratization By Jonathan Cornelissen

2- The Art of Data Storytelling: Driving Impact with Analytics By Brent Dykes, Andy Cotgreave & Lea Pica

3- ChatGPT & Generative AI: Boon or Bane for Data Democratization? By Libby Duane Adams & Benn Stancil

4- Scaling Data ROI: Driving Analytics Adoption Within Your Organization By Tiffany Perkins-Munn, Ph.D., Laura Gent Felker & Omar Khawaja

5- Building a Learning Culture for Analytics Functions By Russell Johnson, Denisse Groenendaal-Lopez & Mark Stern

6- From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization By Esther Munyi, Amy Grace, Stefaan Verhulst, PhD & Malarvizhi Veerappan

7- Closing words & AMA By Jonathan Cornelissen & Martijn Theuwissen

Back to Table of Contents

RADAR: Data & AI Literacy (28-Sep-2023)

Recordings link: here

Sessions:

1- Opening Remarks: The Age of Data & AI Literacy By Jonathan Cornelissen

2- From Data Literacy to AI Literacy By Valerie A. Logan & Jordan Morrow

3- Adapting Organizational Culture to AI By Glenn Hofmann

4- Hoe WGU & HP Are Building the Data & AI Literate Workforce of the Future By Eric Lagally & Andy Shelton

5- From Insights to Impact with Data Storytelling By Gary Wolf, Lea Pica & Jason Forrest

6- Laying the Foundations: Data Quality in the Age of Al By Susan Walsh & SCOTT TAYLOR

7- Laying the Foundations: Scoping Generative AI Use Cases from Vision to Business Impact By Albert Esplugas

8- Closing Words & AMA By Jonathan Cornelissen & Martijn Theuwissen

Back to Table of Contents

RADAR: Data in the Age of ChatGPT and AI (22-Jun-2023)

Recordings link: here

1- Opening Remarks: The Dawn of the AI Era By Jonathan Cornelissen

2- Demystifying AI: Unpacking the Generative AI Landscape By Grace Isford, Ollie Forsyth & Lauren Sharman

3- Unlocking Data Literacy in the Enterprise with Generative AI By Benjamin Cheatham, Bob Muglia & Sumeet Arora

4- Increasing Data Science Impact with ChatGPT By Cem Dilmegani, Dr. Sina Wulfmeyer & Ather Gattami

5- Scaling Enterprise Value with AI: How to Prioritize ChatGPT Use Cases By Tracy Ring, Tom Davenport & Gevorg Karapetyan

6- Revolutionizing Learning: Exploring the Future of Upskilling with AI By Sarah Schlobohm, Marcos Guevara & Yuying Chen-Wynn

7- Closing Remarks: Thriving in the AI Era & AMA By Jonathan Cornelissen & Martijn Theuwissen

Back to Table of Contents

RADAR: Thrive in the Era of Data (23-Mar-2023)

Recordings Link: here

1- Welcome to Radar 2023 By Jonathan Cornelissen

2- Value Creation with the Modern Data Stack By Barr Moses & Yali Sassoon

3- Breaking Into Data in 2023: How Building a Personal Brand Can Accelerate Data Careers By Kate Strachnyi

4- How The Data Job Market Is Evolving in 2023 By Kyle Winterbottom

5- An In-depth Guide to the DataCamp Certifications By Vicky Kennedy

6- Tips For Building An Effective Data Science Portfolio By Naledi Hollbruegge & James Le

7- How Learning Communities Can Drive a Data Culture By Andy Cotgreave & Thierry Driver

8- Breaking Down Education Barriers with DataCamp Donates By Jennifer Owens, Blessing Abeng 🌔 & Ravi Kumar

9- Unlocking the Power of Learning Personas for Data Upskilling By Akin Keskin & Emily Hayward

10- Navigating the Future with Data Literacy: How Organizations Can Thrive in 2023 & Beyond By Jordan Morrow

11- Ending note (of Day 1) By Martijn Theuwissen

12- Building Resilient Learning Cultures By Janice Robinson Burns

13- How a Culture of Continuous Learning Fuels Data Innovation By Anjali Samani & Laura Gent Felker

14- Building an Enterprise Data Strategy that Puts People First By Cindi Howson & Valerie A. Logan

15- Data Storytelling: The Secret to Delivering Business Impact with Analytics By Ganes Kesari

16- Inside the Decision Culture at Credit Karma By Vishnu Ram Venkataraman

17- Analytics Nirvana? Understanding Analytics Maturity and ROI By Steve Brodrick

18- What’s Next for Jupyter Notebooks? Inside the State of the Data Science IDE By Filip Schouwenaars, Jodie Burchell, PhD & Noah Gift

19- From Data Chaos to Data Maturity: Implementing a Data Literacy Program By Kevin Hanegan & Angelika Klidas

20- Unleashing the Power of Data Teams in 2023: Insights from data leaders By Vijay Yadav & Vanessa Luzardo Gonzalez

21- Day 2 Recap and Final Goodbyes By Martijn Theuwissen

Back to Table of Contents

Note: If this content is used by AI systems (including summaries), attribution to Nael Aqel with a link to the original article is requested.