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, 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 Ritika Gunnar. Ritika is currently VP, Data and AI Expert Labs Services and Learning and has worked with IBM in various roles within development, support and technical sales. She started her career developing and supporting systems management warehousing and reporting solutions. She worked in various development projects across IBMs brands to create appliances and solutions for clients cloud and virtualization needs. Ritika also managed Tivoli’s world-wide technical sales teams driving solution selling within the portfolio and increasing overall revenue and client satisfaction for the brand.

 Show Notes
2:41 – Ritika discusses her background

6:07 – Ritika’s current role

9:09 – Successes of Data and AI

15:21 - Important things to company’s around AI

21:39 – What do you see as great principals of a service business 

25:56 – Ritika’s proudest moment at IBM

29:20 – How much time do you spend working with clients?

Ritika Gunnar – LinkedIn and Twitter

 
 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 Debbie Berebichez she is the first Mexican woman to graduate from Stanford University with a PhD in Physics, and she uses her education and background to make science approachable to a wide range of audiences. Debbie co-hosts numerous TV shows, where she uses her knowledge of physics to explain the science behind extraordinary engineering feats. Deborah is the Chief Data Scientist at Metis where she leads the creation and growth of exceptional data science training opportunities. Deborah completed two postdoctoral fellowships at Columbia University's Applied Math and Physics Department and at NYU's Courant Institute for Mathematical Sciences where she carried out research in the area of acoustic waves. She invented a highly effective technique in the field of wireless communications whereby a cell phone user can communicate with a desired target user in a location far away. 

Show Notes

2:10 – Debbie’s mission statement

8:58 – Mentorship

11:25 - Debbie talks about Discovery TV shows

15:04 – Debbie discusses her Ted Talk

19:20 - Data literacy discussion

30:35 – Physicist to data science 

33:22 – Training and data scientist 

38:43 - What makes the perfect data science implementation in a company?

41:53 – Debbie’s advice for young girls

Debbie Berebichez - Instagram

Debbie Berebichez - Twitter

Debbie Berebichez - LinkedIn

Debbie Berebichez - Facebook

Statistic and the art of deception 

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 Ayal Steinberg, Global Sales VP, Data and AI at IBM. Ayal Steinberg is the Vice President of Global Sales for IBM's Data and AI business unit.  In his capacity Ayal oversees IBM's largest and one of the most strategic business units with over 1,500 people and several billion dollars of annual revenue.  Ayal has proven success in managing complex and global sales organizations. Throughout his career, Ayal has created and led high-performing sales teams focused on selling complex software solutions to some of the world’s most well-known brands in more then 50 countries. Prior to IBM, Ayal successfully led sales teams through transformation and hyper growth at IBM Netezza, Oracle, Datastax (the open source provider of Apache Cassandra), and other enterprise software companies.  Earlier in his career, Ayal was a pioneer in selling software for several start-ups in price optimization and advanced analytics. Ayal majored in Economics from Binghamton University, State University of New York.

Show Notes
4:00 – Ayal’s back ground

15:33 – IBM strategy 

18:45 – Moving to cloud

21:23 – Why IBM

23:24 - Value Selling

27:58 – Value vs. price

29:57 - Skills set

31:20 – How do you bring someone back around

Solution Selling

Challenger Sale

Strengths Finder 2.0

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 Nick Caldwell. Nick is the Chief Product Officer at Looker now Google, with careers at Reddit as VP of Engineering, and various positions at Microsoft. Nick holds a degree in computer science and electrical engineering from MIT and an MBA from UC Berkeley. He’s a native of P.G. County, Maryland but is happy to call San Francisco home.

Show Notes

6:07 - Nick’s background

9:10 – Nick discusses leadership

16:45 - Building trust with product team

18:55 – Great leaders

21:05 – Water fall

24:25 – Discussion on data

25:38 – Nick explains Looker

Nick Caldwell - Twitter

Nick Caldwell - Medium

Nick Caldwell - LinkedIn

ColorCode 

https://www.youtube.com/watch?v=n8WwwWLdgTQ

https://www.youtube.com/watch?v=lfxW4hC9a0U

Blue Flame

Devcolor.org

Nick Caldwell

 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 Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidy verse packages for the R programming language. He was named a Fellow by the American Statistical Association for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing".

 Show Notes
2:39 – Hadley talks about his journey 

5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice"

8:00 – Tidy data concept

9:02 - How Hadley became interested in big data and R

10:12 – Python and R

12:30 – What Hadley is doing now

13:47 – Top 3 packages that help data scientists 

17:47 – Hadley discusses his book 

22:48 – Writing a book vs. code

29:40 – What language is going to take over

31:01 – What’s next for data

31:54 – What’s cool for Hadley

36:26 – Hadley’s Role model

Hadley Wickham’s books

Ggplot2

R for Data Science

Advanced R

R Packages

Hadley Wickham’s Blog

Hadley Wickham’s LinkedIn

Hadley Wickham’s Twitter 

RStudio Blog

Connect with the Team
Producer Kate Brown - 

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 Ross Mauri General Manager, IBM Z & LinuxONE IBM Systems. Ross has expertise in strategy, technology, engineering, marketing, and sales. This week we discuss his career at IBM, the people and CEOs of IBM, Mainframes, Databases, Cloud, and Datastores, the myth of Z, and IBM's Z15.

 Show Notes
3:43 - Ross Mauri's career

8:22 – People of IBM and CEOs

12:11 – Working with CEOs

14:34 – Ross talks legacy 

17:20 – What does the mainframe do that no one else can?

18:28 – Z myth

21:22 – LinuxONE

24:29 – RedHat

25:15 – What does Z not do well?

26:00 – Z15

Ross Mauri - LinkedIn

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Meighann Helene - LinkedIn.
Producer Michael Sestak - 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 Jim Ruston Managing Director of Armeta Analytics. Al and Jim discuss monetizing data, prescriptive and descriptive approaches, and sealing the deal.

Show Notes
4:45 - How do you monetize data

6:20 - Common actions

8:50 - Prescriptive approach

11:15 – Gap in data warehouse

13:05 – Cleanup 

17:40 – Overhead costs

19:22 - Prescriptive and descriptive approach

20:56 – Preferred technology

23:07 - Who are the decision makers  

24:56 – Sealing the deal

27:10 – Why do I need Armeta

Armeta 

Armeta Linkedin

Guaranteed Analytics 

The Challenger Sale

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Meighann Helene - LinkedIn.
Producer Michael Sestak - 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 Peter Wang Co Founder and CEO of Anaconda and Shadi Copty VP of Offering Manager. Al, Peter, and Shadi discuss Data Science and IBMs partnership with Anaconda.

Show Notes
6:11 - Corporate Mission

8:00 - Use Case

9:20 - IBM and Anaconda partnership

14:04 - Cloud Pak for Data what is it?

15:43 – Python vs R

17:15 – Anaconda’s Future

23:25 – Shadi takes over from Al

25:05 – Data Science Community

33:40 – Centre of Humane Technology 

 Anaconda - https://www.linkedin.com/company/anacondainc/

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Meighann Helene - LinkedIn.
Producer Michael Sestak - 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 Andy Youniss President and CEO of Rocket Software, co-founded in 1990 with products across the Ladder to AI, Hybrid Cloud and businesses in Technology partnerships. This week we discuss Covid and its personal and professional affects on business. 

 Show Notes

3:00 - Rockets core values 

7:17 – Life and times 

10:25 – Portfolio

11:26 - Vision 

15:07 - Legacy tagline

20:26 - Rockets responds to Covid

27:17 – Secure file transfer business

28:53 – Where did the name Rocket come from?

30:05 – What does leadership mean to you?

IBM Assistance - https://www.ibm.com/watson/covid-response

Rocket Software - https://www.rocketsoftware.com/

Linkedin - https://www.linkedin.com/company/rocket-software

Twitter - https://twitter.com/rocket

Facebook - https://www.facebook.com/RocketSoftwareInc

Brene Brown - https://brenebrown.com/

Arvind Krishna - https://www.linkedin.com/in/arvindkrishna/

Spillover – https://www.amazon.com/Spillover-Animal-Infections-Human-Pandemic/dp/0393066800#reader_0393066800

Bruce Springsteen - https://www.goodreads.com/book/show/29072594-born-to-run

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Meighann Helene - LinkedIn.
Producer Michael Sestak - 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 Rishal Hurbans author of Grokking AI Algorithms, Solution Architect at Intellect, and founder at Prolific Idea in 2015. Al and Rishal talk about Rishal’s book Grokking AI Algorithms and its effect on ants and understanding algorithms.

 Show Notes
4:04 – Bio Rhythmic Using Ants 

8:04 – Knapsack Problem vs Algorithms

9:02 – Mother and Father DNA

10:29 – Silver Bullet

12:42 – Real World Examples Algorithms

17:20 – Genetic Algorithms

28:30 – Rishal’s Best Podcasts

·       Ted Radio Hour - https://www.npr.org/programs/ted-radio-hour/

·       Hidden Brian - https://www.npr.org/series/423302056/hidden-brain

·       Masters of Scale - https://mastersofscale.com/

·       Tim Irvine Blog Wait But Why - https://waitbutwhy.com/

Connect with Rishal Hurbans

Rishal Hurbans - https://rhurbans.com/

Grokking AI Algorithms - https://www.manning.com/

Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Meighann Helene - LinkedIn.
Producer Michael Sestak - 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.