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Episode 270: IBM on generative AI

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Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
John Duigenan is the general manager for the Financial Services Industry for IBM. He joins Tony on the podcast to discuss the fields of generative AI and large language models. He has worked at IBM for more than 25 years in various roles. 4:00 – John joins the podcast and talks about how he started in the financial services industry. 6:00 – What’s the State of the Union for generative AI in the capital markets? 10:00 – What are some real-world use cases for generative AI in the capital markets? 15:30 – When it comes to data quality and the data being plugged into these models, what should people be most concerned about? 18:30 – John explains the difference between Watson and Watsonx, and the thinking behind the latter’s development. 25:00 – And finally, a look at the regulatory environment and how it pertains to generative AI.
  continue reading

286 episodes

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Episode 270: IBM on generative AI

Waters Wavelength

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Manage episode 374801283 series 1079955
Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
John Duigenan is the general manager for the Financial Services Industry for IBM. He joins Tony on the podcast to discuss the fields of generative AI and large language models. He has worked at IBM for more than 25 years in various roles. 4:00 – John joins the podcast and talks about how he started in the financial services industry. 6:00 – What’s the State of the Union for generative AI in the capital markets? 10:00 – What are some real-world use cases for generative AI in the capital markets? 15:30 – When it comes to data quality and the data being plugged into these models, what should people be most concerned about? 18:30 – John explains the difference between Watson and Watsonx, and the thinking behind the latter’s development. 25:00 – And finally, a look at the regulatory environment and how it pertains to generative AI.
  continue reading

286 episodes

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