Making Data Simple

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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 Neil Gilbert Siegel. Neil has lead the creation of a large number of successful military intelligence and commercial systems, this includes the US Blue Force tracker, Neil, has had a number of advances in consumer electronics and health care, a number of patents. Neil also has a number of wards including the US National Academy of Engineering and a Fellow of the National Academy of Inventors. And finally an author of Engineering Project Management.   

 Show Notes
2:20 – Tell us about IBM

3:03 – How do you describe yourself?

8:37 – Can you talk about the first US Army unmanned aerial vehicle?

11:13 – Can you give us some examples of the smartphone and tablet components?

18:30 – What’s your favorite invention?

 20:20 – Why a book about Engineering and Management?

 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, 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 Davor Bonaci co-founder and CEO of a Seattle-based startup Kaskada. Previously, Davor served as the chair of the Apache Beam PMC and software engineer in Google Cloud since its early days and the inception of Cloud Dataflow.

Show Notes
2:39 – Are you focused on the platform or the models around event based data?

6:52 – Does your company provide knowhow or is it tooling?

9:58 – What’s your secret sauce?

11:19 – How did you end up here?

15:40 – Who’s your biggest competitor? 

17:13 – Can you talk to some of the common use cases?

20:30 – Are you and IDE, how does it work?

21:18 – Are you a subscription service?

22:18 – What’s your 5 year plan?

26:44 – How feature store save time and money

29:19 – Describe the company in three bullets

31:35 – What are the top skills?

 Davor Bonaci  - LinkedIn

Kaskada

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, 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 Wendy Gonzalez, Wendy is an executive that is passionate about building high-performing, high-functioning teams that develop and scale innovative, impactful technology. Wendy has two decades of managerial and technology leadership experience for companies including EY, Capgemini, Cycle30 (acquired by Arrow Electronics) and General Communications Inc. Wendy is an active Board Member of the Leila Janah Foundation.

Show Notes
2:39 – How does a CEO run a company from home?

4:50 - Outline the Mission Statement

7:00 – How do you hire people?

8:58 – How big is the company?

9:23 – What’s your secret sauce?

12:10 – How does this tie back to social?

18:38 – Can you talk more about your statistics?

20:55 – How do you separate your business from others?

24:22 – Are these micro models reusable?

25:59 – What is a typically engagement look like?

29:30 - How do clients find you?

30:38 – How did Sama get started?

Turing the flywheel

Omnivore’s Delemma

Sama

 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, 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 Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led the team to deliver the first machine learning/AI solution to the gym/fitness market. Matt is passionate about facilitating the data fluency of individuals and organizations all over the world and loves focusing on the people side of the equation.

Show Notes
2:25 – How do you go from SVP of Products to getting into the data learning business?

3:48 - How do you define data literacy? 

5:50 – Do you teach the products?

7:36 - What’s out of scope?

12:50 – Client use case

18:07 – Solving learning problems

21:14 – What does a learning plan look like?

25:08 – Define Micro

30:20 – What’s the best way to learn?

33:14 – How do you measure success?

34:47 - Are you venture capital funded?

36:10 – Do you have a fundamental leadership belief?

38:24 – What skill do you value most in a leader?

 
 QuantHub

Upskill quanthub

Monetizing innovation 

Ultra Learning

Matt Cowell - 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, 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 Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials.

Show Notes
2:25 - Are you venture capital funded?

4:10 – How many of the solutions involve AI imaging?

10:08 – What technologies are behind Seekar?

14:26 – Where do you think AI is going?

App- covid-ai

Kordel K France – LinkedIn

Kordel K France – Twitter

Seekartech

[email protected]

 
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, 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 Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials.

Show Notes
1:21 – Kordel introduces himself.

5:35 – How do you get into the medical field?

7:27 - How does a non-medical guy say “hay this is what I need to do”?

9:18 – Why is it free of charge?

13:25 – Who provides the 95% accuracy?

14:55 – What is your mission statement?

20:25 – How did you get into the app business?

24:00 – What project are you most proud of?

29:27 – Why lie detection?

Tune in for part 2 next week 

App- covid-ai

Kordel K France – LinkedIn

Kordel K France – Twitter

Seekartech

[email protected]

 
 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

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 [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, 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 Lillian Pierson. Lillian is CEO of Data Mania and she supports data professionals to becoming world data leaders and entrepreneurs. Lillian started Data Mania in 2012, Lillian has had 1.2 million people take her courses or read her book. 

 Show Notes
3:37 – How did you make your transition to Data Mania?

8:20 – What is your Brand now?

9:32 – If I contact Lillian @ Data Mania what will I walk away with?

14:01 – Is it methodology or career coach or is it both?

16:35 – Where did you get your experience to put people in these buckets?

19:08 – Do you provide one on one services?

22:48 – Is your team worldwide?

24:36 – What differentiates your book from another?

26:48 – Who is Data Mania targeting?

28:32 – Where do I start?

Email -  [email protected]

Data-mania

Data Superhero Quiz

Data Science For Dummies 

Lillian Pierson - 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, 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 Milan Shetti. Milan is the President of Rocket Software and the Z Business Unit. Milan joined Rocket about a year ago and came from HP where he ran the storage business section. Before that Milan ran a startup and was also at Sun Micro Systems.

 Show Notes
4:16 – What was in that conversation?

7:26 – What were you responsible for at HP?

10:24 – What position did you start in at Rocket?

12:46 – What is your mission objective at this time?

15:05 – Are you seeing growth in Z?

18:40 – What does modernization mean in Z?

22:14 – What does Rocket do that no else does?

25:50 – Are you using AI and ML in your new role?

31:14 – What is your vision as president moving forward?

 The Alchemist Paulo Coelho

 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 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.