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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 Suj Perepa and Richard Darden. Suj is a distinguished engineer and specializes AI, machine learning technology in the financial sector. Suj also has been a lead for security programs and a member of the IBM Academy of Technology leadership team. Richard is a distinguished engineer in digital human evangelism for North America government and a distinguished engineer at IBM in Cloud and Cognitive for the public sector and a former chief architect on federal government agencies.

Show Notes
6:30 – What is a data framework?

9:16 – What is framework?

11:00 – Governance and people

14:15 – Process and architecture

19:15 – Bringing it all into a playbook

22:56 – Who is the client?

24:36 – How does bias play into it?

27:02 – What products are you using?

27:54 – Explainability

30:44 – Ethics of AI

37:13 Suj and Richard’s most important lessons in AI

The Discipline of Technology

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 continuing our discussion on data framework and what is meant by data framework 46:42 Share

Making Data Simple

Shownotes Transcript

This week we continuing our discussion on data framework and what is meant by data framework