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Channeling Enterprise AI ‘for Good’ in Responsible Data and Workflows - with Juan Ferres of Microsoft

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Manage episode 432748390 series 2728612
内容由Daniel Faggella提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Faggella 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Today’s guest is Juan Lavista Ferres, Microsoft Chief Data Scientist and Corporate Vice President. Juan joins us on today’s program to talk about his new book AI for Good, which showcases his philosophy in driving AI capabilities toward altruistic and responsible outcomes and the work of his team at the AI for Good labs at Microsoft. Throughout the episode, Juan explains how his team works with multiple organizations to develop AI solutions that align with human values, emphasizing the need for AI interventions to address growing health issues across the globe that didn’t exist decades ago. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

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Manage episode 432748390 series 2728612
内容由Daniel Faggella提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Faggella 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Today’s guest is Juan Lavista Ferres, Microsoft Chief Data Scientist and Corporate Vice President. Juan joins us on today’s program to talk about his new book AI for Good, which showcases his philosophy in driving AI capabilities toward altruistic and responsible outcomes and the work of his team at the AI for Good labs at Microsoft. Throughout the episode, Juan explains how his team works with multiple organizations to develop AI solutions that align with human values, emphasizing the need for AI interventions to address growing health issues across the globe that didn’t exist decades ago. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

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