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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 Trent Gray-Donald Distinguished Engineer, IBM Data and AI, Dakshi Agrawal IBM Fellow and CTO, IBM AI.

Trent Gray-Donald spend his first 16 years on manage language runtime, then moved over to Data and AI, and then Cloud Pak for Data.

Dakshi Agrawal joined IBM right after his Phd in IBM Research, then Dakshi moved into software development, and in the 6 years in AI.

Show Notes
5:24 – Why is IBM Watson important?

10:28 – How does data fabric fit in?

15:25 – How would you describe the customer journey around data fabric?

17:10 – Is the ultimate destination AI?

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.

[Part 1] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership 24:44 Share

Making Data Simple

Shownotes Transcript

[Part 1] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership