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Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Kristen Summers and John Thomas. Kristen is a Distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs. John is a Distinguished Engineer in Data and Expert Labs, John leads Services that helps clients establish the AI factory.

Show Notes
3:24 – What is the AI academy and how does it all fit together?

4:34 – AI Ladder and AI Maturity

8:32 – How does the AI Factory make it easier to accomplish the AI Ladder?

12:00 – Why does your team do it better?

17:03 – How do you know your data is ready?

21:22 – What is the most practical use case?

23:02 – What does it really mean to infuse AI?

25:15 – Definition of AI maturity curve

28:25 – How do you know it’s trustworthy?

29:14 – What the most important lesson you’ve learned with AI and what is AI not very good at?

In the Dream House

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This week we continue with part 3 of AI Academy discussing AI Ladder and AI Maturity 36:35 Share

Making Data Simple

Shownotes Transcript

This week we continue with part 3 of AI Academy discussing AI Ladder and AI Maturity