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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.
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[Replay] Understanding Apache Spark with Jean-Georges Perrin
This week Al and Elo Umeh discuss Terragon, how it benefits the businesses in Africa
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[Part 2] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership
[Part 1] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership
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[Replay] Optimizing Sports using A.I. with Joe Pavitt
[Part2] Al and Neil discuss why data is wrong, how you fix it, and Neil’s book.
[Part1] Al and Neil Gilbert Siegel discuss Neil’s involvement with the US Military, his inventions, Neil’s book and tune into part 2 to find out about Neil’s family
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[Part2] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
[Part1] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
[Replay] Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter)
Al and Lillian Pierson discuss Data Mania and Lillian’s book Data Science For Dummies
Al and Milan Shetti discuss Z and what it means when we say legacy powers legendary
[Replay] Al and Nancy Hensley discuss Data and AI and its impact on sports
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