John Thompson is an international technology executive with over 35
years of experience in the fields of data, advanced analytics, and
artificial intelligence (AI). He is currently the Global Head of AI at
EY.
John has built start-up organizations from the ground up and he has
reengineered business units of Fortune 500 firms to reach their
potential. He has directly managed and run - sales, marketing,
consulting, support, and product development organizations.
LinkedIn: https://www.linkedin.com/in/johnkthompson/
The MindSpeaking podcast is about the Human Side of Data. I invite
thought leaders to spread their insights about data, communication, and
personal development.
Connect with me & free resources:
👨🏻💻 Gilbert’s Linkedin: https://linkedin.com/in/eijkelenboom/
🗣 Free email course: https://mindspeaking.com/conversation
📙 People Skills for Analytical Thinkers:
https://mindspeaking.com/buy-book
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https://mindspeaking.com/maturity-model
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00:00:03 - John discusses importance of data literacy
00:02:28 - Discussion about book writing processes
00:03:02 - John's unique writing habits
00:03:54 - John's early morning routine
00:04:18 - Reflections on early career influences
00:05:13 - John's entry into data and analytics
00:06:10 - Insights on building analytics teams
00:06:27 - Lessons learned in team management
00:07:45 - Managing and valuing diverse talents
00:08:16 - Appreciating and recognizing individual contributors
00:09:35 - Recognizing potential in team members
00:11:05 - Essential traits for analytics professionals
00:11:56 - John's unique interview approach
00:13:26 - Enhancing communication within teams
00:15:20 - The role of creativity in data science
00:16:22 - Strategies for building a data-driven culture
00:18:35 - Importance of advanced communication skills
00:20:59 - Engaging the audience during Q&A
00:21:27 - Strategies for addressing mixed audiences
00:23:57 - Techniques for engaging audience questions
00:24:58 - Transitioning from presentation to discussion
00:26:16 - The art of storytelling in presentations
00:28:57 - Introduction of "Data for All" book
00:30:52 - Discussing risks of not understanding data privacy
00:32:17 - Rapid-fire personal questions
00:34:21 - Recap of key interview insights
00:35:29 - Closing remarks