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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.
[Part 2] Al and Claude Yusti discuss AI, data and government, and health care
[Part 1] Al and Claude Yusti discuss AI, data and government, and health care
This week Al and Kush Varshney discuss machine learning and trustworthy AI
This week Al and Paul talk about everything from Paul’s new book to AI and GPUs
[Replay] - Covid-19 interview with Dr. Kyu Rhee
Al and Nancy discuss Data and AI and its impact on sports
This week Al and Lisa discuss the prospects of AI and the data that backs AI
Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter).
This week Kathy Parks will be discussing women in Angel Investing, leadership, and the underlying data to making decisions
This week Oliver Claude discusses Data Governance and Data Ops
[Part 2] Lynne Snead discusses leadership, coaching and being your best self and mixing that in with data
[Part 1] Lynne Snead discusses leadership, coaching and being your best self and mixing that in with data
Amy discusses data analysis and models used in the science of fires
Dr. Lee helps us understand Quantum Computing as a new technology
[Replay] - Covid-19 interview with Dr. Kyu Rhee
[Replay] - Finding New A.I. Use Cases with Paul Zikopoulos
Carlo and Wennie discuss how do we get people to adopt AI
Scott discusses making data fun and simple in data management.
[Replay] - Data Collaboration and A.I. with Adam Weinstein - Making Data Simple [Season 3 - Episode 3]
Ritika talks about her roles at IBM and AI and services for clients.
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