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ืชื•ื›ืŸ ืžืกื•ืคืง ืขืœ ื™ื“ื™ Making Data Simple. ื›ืœ ืชื•ื›ืŸ ื”ืคื•ื“ืงืืกื˜ื™ื ื›ื•ืœืœ ืคืจืงื™ื, ื’ืจืคื™ืงื” ื•ืชื™ืื•ืจื™ ืคื•ื“ืงืืกื˜ื™ื ืžื•ืขืœื™ื ื•ืžืกื•ืคืงื™ื ื™ืฉื™ืจื•ืช ืขืœ ื™ื“ื™ Making Data Simple ืื• ืฉื•ืชืฃ ืคืœื˜ืคื•ืจืžืช ื”ืคื•ื“ืงืืกื˜ ืฉืœื”ื. ืื ืืชื” ืžืืžื™ืŸ ืฉืžื™ืฉื”ื• ืžืฉืชืžืฉ ื‘ื™ืฆื™ืจื” ืฉืœืš ื”ืžื•ื’ื ืช ื‘ื–ื›ื•ื™ื•ืช ื™ื•ืฆืจื™ื ืœืœื ืจืฉื•ืชืš, ืืชื” ื™ื›ื•ืœ ืœืขืงื•ื‘ ืื—ืจ ื”ืชื”ืœื™ืš ื”ืžืชื•ืืจ ื›ืืŸ https://he.player.fm/legal.
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๐Ÿง Beyond the Buzz: AI, Ethics & the Future of Organizational Intelligence with Phanish Puranam (Part 2)

21:32
 
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Manage episode 477319179 series 55293
ืชื•ื›ืŸ ืžืกื•ืคืง ืขืœ ื™ื“ื™ Making Data Simple. ื›ืœ ืชื•ื›ืŸ ื”ืคื•ื“ืงืืกื˜ื™ื ื›ื•ืœืœ ืคืจืงื™ื, ื’ืจืคื™ืงื” ื•ืชื™ืื•ืจื™ ืคื•ื“ืงืืกื˜ื™ื ืžื•ืขืœื™ื ื•ืžืกื•ืคืงื™ื ื™ืฉื™ืจื•ืช ืขืœ ื™ื“ื™ Making Data Simple ืื• ืฉื•ืชืฃ ืคืœื˜ืคื•ืจืžืช ื”ืคื•ื“ืงืืกื˜ ืฉืœื”ื. ืื ืืชื” ืžืืžื™ืŸ ืฉืžื™ืฉื”ื• ืžืฉืชืžืฉ ื‘ื™ืฆื™ืจื” ืฉืœืš ื”ืžื•ื’ื ืช ื‘ื–ื›ื•ื™ื•ืช ื™ื•ืฆืจื™ื ืœืœื ืจืฉื•ืชืš, ืืชื” ื™ื›ื•ืœ ืœืขืงื•ื‘ ืื—ืจ ื”ืชื”ืœื™ืš ื”ืžืชื•ืืจ ื›ืืŸ https://he.player.fm/legal.

Send us a text

Part 2 of 2

Weโ€™re back with Part 2 of our fascinating conversation with Phanish Puranam, Professor of Strategy and Organizational Design at INSEAD.

In this episode, we explore the next frontier: how intelligent algorithms donโ€™t just support organizationsโ€”they shape them. From AI ethics and algorithmic bureaucracy to the future of human-AI teams, universal income, and debunking myths, Phanish offers a provocative look at how organizations canโ€”and shouldโ€”adopt AI in a human-centric way.

โฑ๏ธ Chapters

  • 00:12 โ€“ Algorithmic Bureaucracy
  • 01:23 โ€“ AI Ethics
  • 04:24 โ€“ Blockchain
  • 07:51 โ€“ AI as Team vs. Individual Agents
  • 11:59 โ€“ New Skills
  • 15:12 โ€“ Predictions & Universal Income
  • 17:20 โ€“ Adopting AI in a Human-Centric Way
  • 19:02 โ€“ AI Myths

๐Ÿ”— Connect with Phanish Puranam

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.

  continue reading

465 ืคืจืงื™ื

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Manage episode 477319179 series 55293
ืชื•ื›ืŸ ืžืกื•ืคืง ืขืœ ื™ื“ื™ Making Data Simple. ื›ืœ ืชื•ื›ืŸ ื”ืคื•ื“ืงืืกื˜ื™ื ื›ื•ืœืœ ืคืจืงื™ื, ื’ืจืคื™ืงื” ื•ืชื™ืื•ืจื™ ืคื•ื“ืงืืกื˜ื™ื ืžื•ืขืœื™ื ื•ืžืกื•ืคืงื™ื ื™ืฉื™ืจื•ืช ืขืœ ื™ื“ื™ Making Data Simple ืื• ืฉื•ืชืฃ ืคืœื˜ืคื•ืจืžืช ื”ืคื•ื“ืงืืกื˜ ืฉืœื”ื. ืื ืืชื” ืžืืžื™ืŸ ืฉืžื™ืฉื”ื• ืžืฉืชืžืฉ ื‘ื™ืฆื™ืจื” ืฉืœืš ื”ืžื•ื’ื ืช ื‘ื–ื›ื•ื™ื•ืช ื™ื•ืฆืจื™ื ืœืœื ืจืฉื•ืชืš, ืืชื” ื™ื›ื•ืœ ืœืขืงื•ื‘ ืื—ืจ ื”ืชื”ืœื™ืš ื”ืžืชื•ืืจ ื›ืืŸ https://he.player.fm/legal.

Send us a text

Part 2 of 2

Weโ€™re back with Part 2 of our fascinating conversation with Phanish Puranam, Professor of Strategy and Organizational Design at INSEAD.

In this episode, we explore the next frontier: how intelligent algorithms donโ€™t just support organizationsโ€”they shape them. From AI ethics and algorithmic bureaucracy to the future of human-AI teams, universal income, and debunking myths, Phanish offers a provocative look at how organizations canโ€”and shouldโ€”adopt AI in a human-centric way.

โฑ๏ธ Chapters

  • 00:12 โ€“ Algorithmic Bureaucracy
  • 01:23 โ€“ AI Ethics
  • 04:24 โ€“ Blockchain
  • 07:51 โ€“ AI as Team vs. Individual Agents
  • 11:59 โ€“ New Skills
  • 15:12 โ€“ Predictions & Universal Income
  • 17:20 โ€“ Adopting AI in a Human-Centric Way
  • 19:02 โ€“ AI Myths

๐Ÿ”— Connect with Phanish Puranam

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.

  continue reading

465 ืคืจืงื™ื

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