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Implementing responsible AI in the enterprise

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Manage episode 402237554 series 3444616
Inhalt bereitgestellt von TechTarget Editorial. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von TechTarget Editorial oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Organizations are quickly realizing that AI -- especially generative AI with its human-like creative and analytical capabilities -- raises legal, ethical and managerial issues that must be addressed before it can be deployed responsibly. Workers also need extensive training in developing and using generative AI chatbots, text generation and other applications to ensure the technology supports and amplifies human talent and potential instead of eliminating jobs.

In this podcast, Balakrishna D.R. (who goes by Bali), executive vice president and head of AI and automation at Infosys, a global IT services and consulting firm, shares his extensive experience in implementing AI in large enterprises. He names the most common uses of AI by Infosys clients and offers best practices, including setting up a responsible AI office to establish trust and transparency, and adopting an AI-first operating model to take full advantage of the technology.

Bali leads internal applications of AI at Infosys and has managed large programs for Fortune 500 clients across a variety of industries. He joined the podcast from India – coincidentally on his 30th anniversary as an Infosys employee.

Other topics discussed in the podcast include:

* how Infosys implements responsible AI in its own operations

* the importance of U.S. President Joe Biden's executive order calling for standards for AI safety, security and privacy

* the role of AI in ERP systems

* AI's possible impact on human potential

Host: David Essex, Industry Editor, TechTarget

  continue reading

18 Episoden

Artwork
iconTeilen
 
Manage episode 402237554 series 3444616
Inhalt bereitgestellt von TechTarget Editorial. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von TechTarget Editorial oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Organizations are quickly realizing that AI -- especially generative AI with its human-like creative and analytical capabilities -- raises legal, ethical and managerial issues that must be addressed before it can be deployed responsibly. Workers also need extensive training in developing and using generative AI chatbots, text generation and other applications to ensure the technology supports and amplifies human talent and potential instead of eliminating jobs.

In this podcast, Balakrishna D.R. (who goes by Bali), executive vice president and head of AI and automation at Infosys, a global IT services and consulting firm, shares his extensive experience in implementing AI in large enterprises. He names the most common uses of AI by Infosys clients and offers best practices, including setting up a responsible AI office to establish trust and transparency, and adopting an AI-first operating model to take full advantage of the technology.

Bali leads internal applications of AI at Infosys and has managed large programs for Fortune 500 clients across a variety of industries. He joined the podcast from India – coincidentally on his 30th anniversary as an Infosys employee.

Other topics discussed in the podcast include:

* how Infosys implements responsible AI in its own operations

* the importance of U.S. President Joe Biden's executive order calling for standards for AI safety, security and privacy

* the role of AI in ERP systems

* AI's possible impact on human potential

Host: David Essex, Industry Editor, TechTarget

  continue reading

18 Episoden

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