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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, 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 Robin Hernandez, Robin is the VP of Offering Management Cloud Data for Watson AI Ops. Robin started out in software development, and then worked in Technical Sales, IBM Cloud Garage, and then Product Management.

 Show Notes
3:46 – What is AI Ops?

6:31 – What is the ROI?

12:00 – What does it take to setup AI?

17:48 – How does this really work?

21:34 – I am in Services what do I get?

26:06 – What king of grantees does AI offer?

28:12 – Who is monitoring AI?

IBM AI Ops

 
 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 a text

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, 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.

Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.

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 a text

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, 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 Ana Echeverri. Ana leads Expert Labs Learning, experience in sales, client success, owned her own business. Has a computer engineering degree from Columbia, formerly worked at Informix, and has been in the technology industry for about 30 years, also worked at Microsoft Citrix, and then started her own business focused on Education.

 Show Notes
8:25 – Are there different industry facts driving learning?

11:58 – How do you find the time to learn?

17:24 – What the best way to get education?

20:06 - Do we learn differently?

22:49 – We want expert’s what are you going to do?

28:40 – What is IBM doing around learning?

33:08 – Biggest misconception in learning?

Adam Grant Power of Learning

Conversational Intelligence 

Cooking Blog (Recetas de Merci)

 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 a text

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, 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 Rob Thomas. Rob is Senior VP of IBM Cloud and Data Platform, a Coach and has a Mentor newsletter, an author, and a Blogger. Rob has been at IBM his whole career, started in consulting moved to microelectronics then moved to software in 2006.

 Show Notes
3:26 – What are your learning's from 2020?

7:42 – What’s your vision and objectives for Cloud and Data platform? 

11:44 – Discuss the rules of your organization

14:08 - What’s your view on hybrid cloud?

18:30 – What does IBM Cloud and data platform do that nobody else can do?

21:51 – What should companies be looking at to build their competitiveness?

28:18 – What was your reason for writing about “Just Show Up”?

The Mentor Newsletter

It Takes What It Takes

 
 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 a text

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, 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 Jeff Richardson. Jeff has a history of database data, information management, and he is now the Chief Information Officer at Accelerated Enrollment Solutions. Jeff was also at Bentley Systems for 17 ½ years as Chief Data Officer.

 Show Notes
5:41 – What does it mean to be a technology nerd?

6:53 – What technologies as a CDO or CIO are you addressing on a regular bases?

13:04 – How are you going to tackle the culture and the politics?

17:25 – Is it Cloud or Hybrid to drive the new data lake?

24:03 – What is your plan to get to desired state?

27:04 – Does AI have a role in your new position?

31:44 – Fighting the Infodemic what made you write this article? 

Fighting the Infodemic

Jeff’s podcast list

Analytics on Fire

Dissecting popular IT Nerds

The Data Chief

Data Crunch 

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 a text

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, 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 Yancey Strickler. Yancey is a writer and entrepreneur, founder of the Bento Society, Co-Founder of Kick Starter, a Distinguished Fellow at the Drucker Institute, Author of This Could Be Our Future: A Manifesto for a More, Generous World and The Idea Space, Co-Founded the Artist Resource The Creative Independent, the Record label eMusic Selects, and Angel Investor.

 Show Notes
3:43 - Yancey’s Brand

8:39 - How in Kick Started did you define success?

13:06 – Creating the Bento Society

21:00 – Reframing values into the new world

23:48 – Tips and tricks

27:48 – Data as fire

30:48 – What the next 5 – 10 years going to look like

This Could Be Our Future: A Manifesto for a More, Generous World

YStrickler.com

Bentoism.org

The ideaspace

 
 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 a text

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, 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 Kristen Summers and John Thomas. Kristen is a Distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs. John is a Distinguished Engineer in Data and Expert Labs, John leads Services that helps clients establish the AI factory.

 Show Notes
3:24 – What is the AI academy and how does it all fit together?

4:34 – AI Ladder and AI Maturity

8:32 – How does the AI Factory make it easier to accomplish the AI Ladder?

12:00 – Why does your team do it better?

17:03 – How do you know your data is ready?

21:22 – What is the most practical use case?

23:02 – What does it really mean to infuse AI?

25:15 – Definition of AI maturity curve

28:25 – How do you know it’s trustworthy?

29:14 – What the most important lesson you’ve learned with AI and what is AI not very good at?

In the Dream House 

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 a text

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, 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 [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 a text

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, 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 Kristen Summers who is a distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs, 

 Show Notes
2: 08 - More time needs to be spend on culture and talent management.

3:55 - What does data driven culture mean?

8:49 – What do you see driving fundamental culture?

11:14 - What common tool do we have?

12:55 – What is communicate about data?

14:42 – How do you know you’re doing it well?

17:29 - How do you define AI talent?

23:18 - Describe a Data Scientist?

27:25 - Common Organizational Structures 

31:49 - How do you manage and grow AI talent?

IBM Skills Academy 

 
 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 a text

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, 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 Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003.

Show Notes

3:40 – Any advice on soft skills and hard skills?

8:35 – Telltale signs such as stress

10:40 – Settings goals

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

Books

Thinking Fast and Slow 

Financial Intelligence

 Other notable names

Brene Brown

Judith Glaser

Marshall Goodsmith

Daniel Goleman

Lynne’s List of Recommended Leadership Books

1. Leadership and Self Deception, Arbinger Institute
2. 7 Habits of Highly Effective People, Stephen R. Covey (Senior)
3. 5 Levels of Leadership, John Maxwell. 
4. What Got You Here Won’t Get You There, Marshall Goldsmith
5. Conversational Intelligence, Judith Glaser
6. The Speed of Trust, Stephen M.R. Covey (Junior) 
7. Emotional Intelligence, Daniel Goleman
8. The New Art of Managing People, Tony Alessandra and Phil Hunsaker
9. How to Influence People, John Maxwell
10. Humble Inquiry, Edgar H. Schein 
11. Humble Leadership, Edgar H. Schein and Peter Schein
12. Leadership is an Art, Max De Pree
13. The Secrets to Winning at Office Politics, Marie G. McIntyre
14. The Power of Focus, Jack Canfield, Mark Victor Hansen, Les Hewitt
15. The Power of Self-Confidence, Brian Tracy

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.