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πŸ“Š AI: From Hype to Enterprise Value

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Manage episode 493981650 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair 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://podcastplayer.com/legal.

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"AI: Hype Versus Reality," explores the significant gap between the overstated promises of Artificial Intelligence and the complex realities of its implementation within businesses. It outlines a pragmatic framework for achieving AI success, emphasizing that effective strategies must be business-led, financially realistic, founded on strong data and infrastructure readiness, and underpinned by responsible governance. The text highlights common pitfalls like neglecting the total cost of ownership and the crucial need to address ethical concerns, such as algorithmic bias, to prevent financial and reputational damage. Ultimately, the source advocates for a disciplined, phased approach to AI adoption that prioritizes long-term value and human-centered considerations over mere technological experimentation, recognizing that organizational transformation is as critical as the technology itself.

  continue reading

137 episodes

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iconShare
 
Manage episode 493981650 series 3485568
Content provided by Rick Spair. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Rick Spair 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://podcastplayer.com/legal.

Send us a text

"AI: Hype Versus Reality," explores the significant gap between the overstated promises of Artificial Intelligence and the complex realities of its implementation within businesses. It outlines a pragmatic framework for achieving AI success, emphasizing that effective strategies must be business-led, financially realistic, founded on strong data and infrastructure readiness, and underpinned by responsible governance. The text highlights common pitfalls like neglecting the total cost of ownership and the crucial need to address ethical concerns, such as algorithmic bias, to prevent financial and reputational damage. Ultimately, the source advocates for a disciplined, phased approach to AI adoption that prioritizes long-term value and human-centered considerations over mere technological experimentation, recognizing that organizational transformation is as critical as the technology itself.

  continue reading

137 episodes

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