Send us a text

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.

Abstract

Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, 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 Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms.

Show Notes
11:43 - What is the context and how did you get involved?

17:10 - How do you define success?

19:40 - Are you focused on IT language?

25:03 - How do you know you’re doing it right?

32:30 - What decision have already been made?

37:13 - What other challenges have you faced?

40:00 - How do you know when you’re done?

41:29 - How can people contribute?

Dale Davis Jones - LinkedIn

Hai-Nhu Tran - LinkedIn

Blog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in Technology

Call for Code for Racial Justice:

Linux Foundation

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.

[Replay] Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter) 46:15 Share

Making Data Simple

Shownotes Transcript

[Replay] Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter)