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Tag: iapa

31: Moha Ganji: planning, mentors, reflection

Posted 3 years ago Tagged iapa mentors planning

Moha Ganji and I had a lovely time talking about being one of the IAPA […]

https://smarterdatapeople.com/episode-player/1611/moha-ganji.mp3

29: Chris Crook: Targeted curiosity

Posted 3 years ago Tagged iapa

Chris Crook from Nature Research is my guest today. Nature Research just won a B&T, […]

https://smarterdatapeople.com/episode-player/1560/chris-crook.mp3

28: Gabe Mach: Nothing you can’t fix with numbers

Posted 3 years ago Tagged iapa

Gabe Mach is my guest on this podcast. Gabe is one of IAPA’s top 25 […]

https://smarterdatapeople.com/episode-player/1441/gabe-mach.mp3
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Episodes
  • 32: Dean Marchiori: Going full circle
  • 31: Moha Ganji: planning, mentors, reflection
  • 30: Lori Silverman: not just decisions. Actions!
  • 29: Chris Crook: Targeted curiosity
  • 28: Gabe Mach: Nothing you can’t fix with numbers
  • 27: Nate Watson: Math is the cultural equalizer
  • 26: Tony Savides: The magnificent So-What
  • 25: Satya Upadhyaya: Marketing Technologist
  • 23: Maura Church: life work harmony
  • 22: Vin Vashishta: interesting and useful
  • 21: Nic Ryan: never on Wednesday
  • 20: Jeremy Clopton: Tie it to something they know
  • 19: Mary Casadei: not a fan of 25,000 slides
  • 18: Peter Gebhardt: What’s the business problem?
  • 16: Ingo Bentrott: it’s not about the algorithm
  • 15: Jeremy Corbet: Resilience
  • 14: Amy Hodler: context and connections
  • 13: Chris Carr: Sticky Beak
  • Chris Carr – Transcript
  • 12: Glen Bell: be curious or miserable
  • 11: Sachin Kumar: Smart is the new sexy
  • Glen Bell Transcript
  • 10: Mohammad Elteibi – Learn something
  • 09: Ben Morley-John: Brain food
  • Ben Morley-John: The Transcript
  • 08: Cindy Tonkin and Helen Lawson Williams: Upside down
  • Cindy Tonkin Transcript
  • David Scott Transcript
  • 07: David Scott: We’re the newcomers so we have to make the effort
  • 06: Christina Igasto: No failure only lessons
  • 05: Shailendra Kumar: What’s the problem?
  • Sid Minassian Transcript
  • 04: Sidney Minassian: Have the fight early
  • 03: Elizabeth Moore: Your analytics are only as good as the problem you’re trying to solve
  • 02: Aaron Artery: Values matter
  • 01: Keegan O’Shea: The best data insights are sentences
  • 00: Data science leaders: Smarter, faster and nicer

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Latest Episodes
  • 32: Dean Marchiori: Going full circle
  • 31: Moha Ganji: planning, mentors, reflection
  • 30: Lori Silverman: not just decisions. Actions!
  • 29: Chris Crook: Targeted curiosity
  • 28: Gabe Mach: Nothing you can’t fix with numbers
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