Making Data Simple
Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.
- Update frequency
- every 7 days
- Average duration
- 38 minutes
- Episodes
- 362
- Years Active
- 2018 - 2025
The Evolution of the Database Industry with Art Kagel and Lester Knutsen
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
In this episode of Making Data Simple,…
The State of Design and A.I. with Adam Cutler and Milena Pribić
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
This week, we are joined by Adam Cutle…
Finding New A.I. Use Cases with Paul Zikopoulos
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
This week, Paul Zikopolous, IBM VP Big…
Optimizing Sports using A.I. with Joe Pavitt
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
This week on Making Data Simple, our g…
Clarifying Decision Optimization and Analytics with Carlvin Paris
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Abstract
Our guest for this week is Carlvin Par…
Reforming Design Leadership with Arin Bhowmick
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Abstract
This week on Making Data Simple, our g…
What it Takes to Drive Transformation with Bill Higgins
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Abstract
Bill Higgins, IBM Distinguished Engine…
Improving Technical Engagement with Debra Jenson
Abstract
The Power of the Mainframe with Namik Hrle
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
On this episode of Making Data Simple, we are j…
Discovering New Talent in Tech
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
This week, IBM new hires Analeeze Mendonsa and …
The Current State of Data and AI in the Enterprise with Seth Dobrin
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
Seth Dobrin is back for his third episode on M…
Exploring Marketing Insights with Jayson Gehri
In this episode of Making Data Simple, our guest is Jayson Gehri, Marketing Director for the IBM Hybrid Data Management portfolio. Host Al Martin turns to Jayson to provide marketing in…
The Intern Episode
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
This week is something a bit different. Host A…
Trains, Planes, and AI, with Kent Collins
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This week, host Al Martin chats with Kent Coll…
[Rebroadcast] Machine Learning for Dummies
The authors of Machine Learning for Dummies – Judith Hurwitz, and Daniel Kirsch — are here to help you.
In this episode, Judith, Daniel and Al discuss the state of machine learning today…
Human Evolution and AI, with Jennifer Sukis
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.
This week’s guest on the Making Data Simple po…
Making Data Simple - Internal data science for the enterprise, with Tracy Bolot
This week, host Al Martin chats with Tracy Bolot, VP of enterprise management at IBM. Together, they discuss how people are at the core of companies -- not technology -- as well as deta…
Thinking and Writing about AI with Tom Taulli - [Season 3 - Episode 28]
This week, host Al Martin chats with Tom Taulli. Tom is a blogger, investor, and an advisor to startups. He frequently writes about AI for Forbes. He is also an author of several books…
Stories from the Field: Ep.3 - Success in AI adoption: customer experience and beyond
According to the Economist, 70 percent of business executives rated analytics as “very” or “extremely important,” but just 2 percent say they have achieved “broad positive results.” In…
[Rebroadcast] Ep.7 - How data science is helping to improve aviation
What are your major concerns before flying on a trip? Would you ever give up your seat due to overbooking? How do airlines predict weather patterns and take proactive action to minimize…