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Episode 270: IBM on generative AI

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Kandungan disediakan oleh Waters Wavelength Podcast. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Waters Wavelength Podcast atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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

290 episod

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Episode 270: IBM on generative AI

Waters Wavelength

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Manage episode 374801283 series 1079955
Kandungan disediakan oleh Waters Wavelength Podcast. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Waters Wavelength Podcast atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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

290 episod

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