Making Data Simple

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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 Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry.

 Show Notes
2:00 – What questions do government and health care have?

8:10 – How different are government and health care?

12:40 - ROI within government and health care.

[email protected]

Claude Yusti - LinkenIn 

http://www.businessofgovernment.org/bio/claude-yusti 

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 [email protected] 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. 

Send us Fan Mail

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 Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry.

 Show Notes
6:19 – Working with government

9: 58 - On what context are you defining AI?

11:04 – How do you see the protection of data?

18:05 – Use cases

25:01 – Skills, security, data set control and how the government differs from private sector?

 Claude Yusti - LinkenIn 

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 [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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 Kush Varshney who is a Distinguished Research Staff Member and Manager of IBM Research and leads the Machine Learning group in the Foundations Trustworthy AI and the Co-Founder of IBM Science for Social Good. Kush has a history in Electrical Computer Engineering and a PHD at MIT.
 
 Show Notes
1:32 – Kush’s history

6:36 – Is there such a thing as trust worthy AI?

14:46 – Are we going to let AI make decisions?

19:57 – Have you worked on any government projects? 

21:41 – Government datasets governance 

24:13 – Steps to invest in trust and fairness

25:54 – What is Science for Social Good

27:25 – Where will AI be in 3 years?

30:02 – White noise for the nose

IBM for Social Good

Trusting AI 

Factfulness

Trust Worthy Machine Learning (coming next year) 

 
 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 [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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 Paul Zikopoulos. Paul is VP of Cognitive BigData Systems. Paul has written numerous books, and is a professional and award winning speaker.

 Show Notes
5:39 – Paul’s experience 

9:07 – Paul’s new book

12:00 – What do you mean by “Until you don’t”?

13:25 – What about systems GPUs?

15:42 – What should I be thinking?

18:07 – What else are you working on?

 22:11 – Time management tips

31:30 – Twitter comment

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter. 

The AI Ladder

Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] 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. 

Send us Fan Mail

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.
 
Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. 

Abstract
 
This week on Making Data Simple, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel.

Show Notes

1. https://www.ibm.com/blogs/watson-health/author/kyurhee/
2. https://www.ibm.com/impact/covid-19/

Connect with the Team

Producer Kate Brown - LinkedIn.

Producer Michael Sestak - LinkedIn.
Producer Meighann Helene - LinkedIn.

Host Al Martin - LinkedIn and Twitter.

Additional resources:
 
IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19

IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watson

How governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/

Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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 Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM.

 Show Notes
1:37 – Nancy’s bio

3:10 - Are we talking Money Ball?

5:52 - On Base percentage

7:08 – Analyse examples 

10:02 – Do you control the data?

11:24 – Out there statistics

14:12 - Can analytics go to far?

17:35 – Real time analysis

18:45 – Covid and sports

21:15 – Your role in sports betting

22:50 – What’s the most fascinating thing you’ve learned?

25:23 – What’s the future?

Website - Stats Perform

Money Ball

Stats Perform - Twitter 

Bill James – Baseball Abstract 

The Analyst 

 
 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 [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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. 

Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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

https://www.ibm.com/blogs/think/2020/08/words-matter-driving-thoughtful-change-toward-inclusive-language-in-technology/

Call for Code for Racial Justice:

https://developer.ibm.com/callforcode/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 [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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 Kathy Parks. Kathy worked at IBM and is now an owner and independent Angel Investor. Kathy started her career in publishing and then transitioned over to Kurzweil Computer Products working on reading machine for the blind. Kathy then moved to Interleaf working on publishing products, then to QA and Project Management. Kathy then moved to Rational Software and in 2003 Rational was bought by IBM.

 Show Notes
2:10 - How do you go from publishing to project management?

3:15 - How did you transition to Angel Investing?

5:58 - What’s at the core

7:06 - What is Angel Investing

12:40 - Is there a formula that you use?

17:24 - How are pitches made?

18:37 - Other forms of capital

22:43 - How many investments have you made?

29:21 - What data to you use?

30:42 - Why are we not seeing the investments?

31:58 - What are the KPIs in a pitch?

33:20 - How long does the process take?

Angel Capital Association 

KJParks - Linkedin

Angel Investing - Venture Deals

Age of Surveillance Capitalism 

 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 [email protected] 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. 

Send us Fan Mail

Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] 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 Oliver Claude Portfolio Offering Manager for Data and AI and Oliver is a Data Governance expert. Oliver also worked as a Chief Marketing Officer, VP and Chief Solution Owner, Solution Management, and Consulting, Al and Oliver discuss Data Governance and Data Ops and how it all fits into your business. 

 Show Notes
2:50 - What is the definition of Data Governance?

4:06 - What is Data Ops?

4:40 - What is IBM doing with Data Ops?

5:16 - How have we automated our tools?

6:58 - What is better red or white wine?

7:33 - What is the future of Data Governance?

9:37 - How is Data Governance and Data Ops related to AI?

11:06 - What are the pitfalls for customers implementing Data Governance?

12:10 - How do companies get started?

Oliver Claude - LinkedIn

IBM DataOps

 
 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 [email protected] 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.