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 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.

Show Notes

2:25 – Can data define behavior in someone?

7:19 – How do you complete an assessment?

9:46 – Attributes of assessments

20:25 – Coaching advice

 Lynne Snead - LinkedIn

Talent Evolution Systems

Lynne’s email: [email protected]

Leadership and self deception 

How will you measure your life?

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

 
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 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, 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 Amy McDermott. Amy is a science journalist at Front Matter, the magazine section of PNAS (Proceedings of the National Academy of Sciences), where she covers new and emerging research. Her background spans ecology and journalism: she has an MA in conservation biology from Columbia University and a graduate certificate from the UC Santa Cruz Science Communication Program.

 Show Notes
4:20 - Amy’s background

7:25 – Amy summaries the stories on fires

11:21 – What does the data suggest about fires?

12:04 – Are there computer models on fires? 

17:35 – Real world example of how models are used

19:44 – How accurate is the data?

24:25 - Examining the data

28:35 - How do you define success? 

29:55 – Amy’s passion 

Amy McDermott - LinkenIn

Front Matter 

 
 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 Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing.

Al and Dr. Lee try and help us understand Quantum Computing as a new technology.   

Show Notes
3:03 - Dr. Lee talks about her day to day job

4:40 – The challenge 

6:12 - Dr. Lee describes quantum 

8:03 – What is quantum computing going to do for us that we can’t do today?

9:30 – How does this work?

17:50 – What kind of problem is quantum computing suited to answer?

19:40 – Will quantum computing replace traditional computing?

23:36 – Who can use quantum computing?

32:30 – Security and quantum

33:50 – Dr. Lee’s team

Dr. Kayla Lee - LinkedIn

IBM Quantum Computing 

Qiskit

HBCU Center Driving Diversity and Inclusion in Quantum Computing

IBM’s Roadmap For Scaling Quantum 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 Fan Mail

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.
 
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, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel.

Show Notes

1. https://www.ibm.com/blogs/watson-health/author/kyurhee/
2. https://www.ibm.com/impact/covid-19/

Connect with the Team

Producer Kate Brown - LinkedIn.

Producer Michael Sestak - LinkedIn.
Producer Meighann Helene - LinkedIn.

Host Al Martin - LinkedIn and Twitter.

Additional resources:
 
IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19

IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watson

How governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/

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, 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 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 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 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 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 Fan Mail

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.