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 Lisa Palmer. Lisa is currently pursuing her doctorate in Artificial Intelligence, Chief Technical Advisor with Splunk Technologies. Lisa also was a professor at Southern Nazarene University, Tara Data Global Accounts Strategist, and then VP and America’s Regional Manager for Gartner.
Show Notes
1:30 – Lisa’s background
6:16 – What is your Brand
10: 06 - Pros and cons of AI Intelligence
12:14 – Policing AI
15:40 – Does bias worry you
20:00 - What is flipping to data leadership
23:55 – What are you working on
27:07 – Why is pursuing your doctorate important to you
28:38 – What’s your advice for other leaders
30:37 – Trusted information
32:50 – Predication for next year
Invisible Women: Data Bias in a World Designed for Men
Lisa Palmer - LinkedIn
Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter.
Al and Mark Gabrielson discuss RegTech, Safer Payments, and OpenPages and how they can control your governance and compliance policies
[Replay] Al and Lynne Snead discuss leadership, coaching and being your best self and mixing that in with data
[Replay] Understanding Apache Spark with Jean-Georges Perrin
This week Al and Elo Umeh discuss Terragon, how it benefits the businesses in Africa
This week Al and Anastasia Leng discuss infusing creative with data
[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
Al and Alex Watson discuss Gretel, security, and privacy issues around synthetic data
[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
Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company
Al and Wendy Gonzalez discuss data is the new code, micro models that are reuseable, data pipeline and hiring people that are smarter than you
Al and Matt Cowell discuss defining data literacy, teaching products, and learning problems
[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
Create your
podcast in
minutes
It is Free