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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

This week, Paul Zikopolous, IBM VP Big Data Cognitive Systems, makes a highly anticipated return to Making Data Simple. Paul gives an update to what he's been working on, including his A.I. tracking app which saw an interesting use case at a recent Luke Bryan concert. We are also given some insight to the state of data and the rest of the industry. Host Al Martin then finishes things off by discussing what it means to lead a team, and tips for growing your career. 

Connect with Paul

LinkedIn 

Twitter

IBM Blogs

Show Notes

07:02 - Read more about Watson Anywhere here. 

20:20 - Check out Auto AI here.

Connect with the Team

Producer Liam Seston - LinkedIn.

Producer Lana Cosic - LinkedIn.

Producer Meighann Helene - 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, 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 Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce.

 Show Notes
2:56 – How do we get people to adopt AI?

4:49 – Carlo’s book

6:15 – Why do we call it agile AI?

11:12 – Six weeks to get it done!

15:07 – Where are we at with AI?

16:54 - Problems with AI today

22:05 – Secret sauce

26:31 - Process and methodology 

30:22 – Talk data

34:19 – Integration, trust, and quick deployment

36:10 – Working remote

39:40 – How do you engage?

Remote Data Science Website: http://ibm.biz/RemoteDataScience
Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog
Agile AI Book:   http://ibm.biz/DSE-AgileAI
Community: http://ibm.biz/DSE-Community
Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab
Consultation: http://ibm.biz/DSE-Consultation

Blogs:
 Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen
Data Science and AI from anywhere... by Carlo Appugliese

Wennie on LinkedIn linkedin.com/in/wennie-allen
Carlo on LinkedIn linkedin.com/in/carloappugliese

 
 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, 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 Scott Taylor. Scott is the Data Whisperer, a thought leader, consultant on the strategic value of data management, Principal Consultant of MetaMeta Consulting and he practices data evangelism as a service. Scott discusses helping people understand the value and strategic importance of simple data.

 Show Notes
1:25 – Scott’s back ground

4:30 – Does Scott talk to data?

5:20 – How long has Scott been in data?

6:50 - Data Management

13:12 - Data Story telling

17:05 – Structured data

25:08 - Core manifesto 

25:48 – Bad data ideas

Connect with Scott Taylor

Scott Taylor - LinkedIn

Scott Taylor - Twitter

Scott Taylor – The Data Whisperer YouTube channel

 
 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

Adam Weinstein is currently CEO and Co-Founder of Cursor, having worked at LinkedIn as a Senior Manager of Business Development and having founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and provides insight into creating a successful startup.
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Shownotes

 00:00 - Check us out on YouTube and SoundCloud!   

00:10 - Connect with Producer Steve Moore on LinkedIn & Twitter   

00:15 - Connect with Producer Liam Seston on LinkedIn & Twitter.   

00:20 - Connect with Producer Rachit Sharma on LinkedIn.

00:25 - Connect with Host Al Martin on LinkedIn & Twitter.   

00:55 - Connect with Adam Weinstein on LinkedIn.

03:55 - Find out more about Cursor.

06:45 - Learn more about Cursor's Co-Founder and CEO Adam Weinstein.

13:10 - Learn more about Big Data Analytics.

19:20 - What is Python/Jupyter Notebooks?

26:35 - Learn more about Data Fluency.

35:30 - What is a startup? 

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, 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 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, 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 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, 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 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, 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 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, 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

Hadl

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.