Importance of Mathematics in Data Science and Reflection on The Future of Employment Paper

Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Cognitive bias in understanding AI [14:13]
• How AI will augment rather than replace human workers [24:27]
• OpenAI and regulatory action [35:13]
• Jobs that might be at risk of being automated [39:57]
• The potential of citizen science in accumulating and analyzing data [1:02:18]
• How AI will change the game for the C-suite [1:15:17]

Additional materials: www.superdatascience.com/647