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 Mark Gabrielson leads RegTech in Expert Labs which is a division of Services that is associated with Development. Mark joined IBM via the Informix acquisition. In the last 10 years Mark has been leading IBMs Commercial Payments Practice. Mark is currently working on projects involving Safer Payments and OpenPages.

Show Notes
4:50 – What’s your most favorite job?

7:58 – Describe RegTech 

13:19 – Breaking down silos

20:56 – How do you do it with AI?

23:05 – What is OpenPages sweet spot?

26:50 – If I am a client how do I get started?

30:28 – Who are the competitors?

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. 

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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 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 Covey.

1:30 – Lynne talks about her background

5:40 – Lynne’s coaching specialty and mission statement

10:30 – Why don’t all leaders have coaches?

12:08 – Why do you differentiate corporate coaching from life coaching?

16:27 - Do you believe in the element of natural state? 

18:32 – How many individuals have you coached?

19:49 – What constitutes a great leader?

20:55 – What are the common mistakes in a leader?

24:44 – Steer them back on track

Lynne Snead - LinkedIn

Talent Evolution Systems

Lynne’s email: [email protected]

Leadership and self deception 

How will you measure your life?

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 Jean-Georges Perrin, Director of Engineering at weexperience. Together, they discuss — and compare — Apache Spark and Hadoop, and explain what it means to hold the title of IBM Champion.

Show Notes
02:07 - Connect with Jean-Georges Perrin on LinkedIn and Twitter, and check out his website.

13:14 - Check out Jean-Georges' book on Apache Spark.

24:38 - What does it mean to be an IBM Champion?

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 Elo Umeh, from Terragon Africa’s fastest-growing enterprise marketing technology company. Terragon uses its on-demand marketing cloud platform, attribution software, and deep analytics capability to enable thoughtful, targeted omni-channel access to 100m+ mobile-first African consumers. Elo is the Founder and CEO at Terragon Group. Elo career has spanned over 15 years where he has worked in the mobile and digital media across East and West Africa. He was part of the founding team at Mtech Communications. Elo holds a global executive MBA from IESE business of school where he graduated at the top of his class. Elo also has a Bachelor’s degree in Business Administration from Lagos State University.

Show Notes
4:02 – What keeps you going?

6:15 – Lets dive into Terragon

8:40 – Who are your customers?

11:06 – Define pre-paid

14:40 – What kind of incites and security are you providing?

20:37- What kind of technology is Terragon using?

23:16 – What was it about the smart phone that made you want to go out on your own?

26:10 – Who’s your biggest competitor? 

28:20 – What’s next for Terragon?

31:01 – What are the biggest mistakes entrepreneurs make?

Terragon 

Elo Umeh - 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 Anastasia Leng is CEO and Founder of Creative X. Anastasia previously worked at Google, in 2012 Anastasia started an e-Commerce business which then lead to Creative X.

 Show Notes
4:13 – How much time do you spend on funding?

7:08 – Why do it again?

13:28 –Is this the ending days of Hatch or the early days of Creative X?

18:00 – How would you label your business?

23:38 – What technology are you using?

27:21 – Who is your target customer?

34:14 – Are there other competitors doing this today?

36:34 – Customer stories

38:38 – Are you using AI?

Email - [email protected]

Anastasia - 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 Trent Gray-Donald Distinguished Engineer, IBM Data and AI, Dakshi Agrawal IBM Fellow and CTO, IBM AI. 

Trent Gray-Donald spend his first 16 years on manage language runtime, then moved over to Data and AI, and then Cloud Pak for Data. 

Dakshi Agrawal joined IBM right after his Phd in IBM Research, then Dakshi moved into software development, and in the 6 years in AI. 

Show Notes
.15 - 5:23 - Repeat of introductions from Part 1
5:50 – What is AI Anywhere?

9:09 – Does it make our development more difficult?

11:22 – Does data virtualization work?

15:31 - How do we get started with AI?

17:41 – Customer success stories

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 Trent Gray-Donald Distinguished Engineer, IBM Data and AI, Dakshi Agrawal IBM Fellow and CTO, IBM AI. 

Trent Gray-Donald spend his first 16 years on manage language runtime, then moved over to Data and AI, and then Cloud Pak for Data. 

Dakshi Agrawal joined IBM right after his Phd in IBM Research, then Dakshi moved into software development, and in the 6 years in AI. 

Show Notes
5:24 – Why is IBM Watson important?

10:28 – How does data fabric fit in?

15:25 – How would you describe the customer journey around data fabric?

17:10 – Is the ultimate destination AI?

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 Alex Watson. Alex was previously a GM at AWS and is currently a Co-Founder at Gretel.ai. Gretel is a privacy startup that enables developers, researchers, and scientists to quickly create safe versions of data for use in pre-production environments and machine learning workloads, which are shareable across teams and organizations. These tools address head-on the massive data privacy bottleneck--which has stifled innovation across multiple industries for years—by equipping builders everywhere with the ability to create quality datasets that scale.

In short, synthetic data levels the playing field for everyone. This democratization of data will foster competition, scientific discoveries, and the inventions that will drive the next revolution of our data economy. 

The company recently closed their series-A funding, led by Greylock, for another $12 million and brought Jason Warner, the current CTO for GitHub, on as an investor. Gretel also launched its latest public beta, Beta2, which offers privacy engineering as a service for everyone, not just developers.

Show Notes
2:03 – Alex’s background

4:36 – What time frame was Harvest AI?

7:14 – How does NLP play into Harvest AI?

10:50 – How can we not have enough knowledge?

14:08 – Does the tech exist today for security?

18:14 – Privacy issues

20:42 – What does Gretel stand for?

27:42 – Do you increase the opportunity for bias?

31:18 – Where is the sweet spot for Gretel?

33:30 – When do synthetic not work?

37:42 – What is practical privacy?

Gretel

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

This week on Making Data Simple, our guest is Joe Pavitt, master inventor and emerging technology specialist at IBM. Joe comes from a diverse background of playing various sports at a high-level, while pursuing studies in engineering and technology. Tune in to discover how Joe's role allows him to be at the intersection of these 2 seemingly opposed industries.

Connect with Joe

LinkedIn

Show Notes

05:29 - Check out this article on the effects of alcohol on athletic performance. 

07:00 - IBM has spent the last 25 years at the top spot for patents created.  

12:29 - Watch this video to learn more about what Joe is doing with Leatherhead F.C.

25:56 - Learn more about the Blender project and animation on their website.  

Connect with the Team

Producer Liam Seston - LinkedIn.

Producer Lana Cosic - LinkedIn.

Producer Meighann Helene - LinkedIn. 

Host Al Martin - LinkedIn and Twitter.
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn. 

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 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
2:49 – Why is all data wrong?

9:00 – How do you fix wrong data?

23:17 – Where did you get your love for engineering?

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

Nassim Nicholas Taleb – Fooled by Randomness - Black Swan

Engineering Project Management

NeilSiegel.usc.edu

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.