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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: lsnead@talentevolutionsystems.com
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.
Al and Mark Gabrielson discuss RegTech, Safer Payments, and OpenPages and how they can control your governance and compliance policies
[Replay] Al and Lynne Snead discuss leadership, coaching and being your best self and mixing that in with data
[Replay] Understanding Apache Spark with Jean-Georges Perrin
This week Al and Elo Umeh discuss Terragon, how it benefits the businesses in Africa
This week Al and Anastasia Leng discuss infusing creative with data
[Part 2] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership
[Part 1] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership
Al and Alex Watson discuss Gretel, security, and privacy issues around synthetic data
[Replay] Optimizing Sports using A.I. with Joe Pavitt
[Part2] Al and Neil discuss why data is wrong, how you fix it, and Neil’s book.
[Part1] Al and Neil Gilbert Siegel discuss Neil’s involvement with the US Military, his inventions, Neil’s book and tune into part 2 to find out about Neil’s family
Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company
Al and Wendy Gonzalez discuss data is the new code, micro models that are reuseable, data pipeline and hiring people that are smarter than you
Al and Matt Cowell discuss defining data literacy, teaching products, and learning problems
[Part2] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
[Part1] Al and Kordel France discuss helping medical professions save lives and how did Kordel get into the medical field
[Replay] Al, Dale, and Hai-Nhu discuss the IBM initiative to modernize IT language to remove racial and cultural bias (aka Words Matter)
Al and Lillian Pierson discuss Data Mania and Lillian’s book Data Science For Dummies
Al and Milan Shetti discuss Z and what it means when we say legacy powers legendary
[Replay] Al and Nancy Hensley discuss Data and AI and its impact on sports
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