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Ep.96 Rehgan Avon - Decoding the Hype and Reality of Generative AI

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Indhold leveret af womenindata. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af womenindata eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Does Generative AI have the potential to revolutionise your business strategy?
In this episode, Karen is joined by Rehgan Avon, CEO of Align AI and founder of Women in Analytics, to discuss Generative AI and how it is affecting data strategies. Prepare to unravel the pros and cons of the hype cycle surrounding Gen AI, as well as how organisations should navigate this landscape by conducting proofs of concept and tackling the task of educating their teams about this groundbreaking technology. Listen to Rehgan talk about how business and AI strategy should not be separated from each other in order to avoid the pitfalls of impulsive decisions and ineffective data practices.

  continue reading

101 episoder

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Manage episode 384011119 series 2872468
Indhold leveret af womenindata. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af womenindata eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Does Generative AI have the potential to revolutionise your business strategy?
In this episode, Karen is joined by Rehgan Avon, CEO of Align AI and founder of Women in Analytics, to discuss Generative AI and how it is affecting data strategies. Prepare to unravel the pros and cons of the hype cycle surrounding Gen AI, as well as how organisations should navigate this landscape by conducting proofs of concept and tackling the task of educating their teams about this groundbreaking technology. Listen to Rehgan talk about how business and AI strategy should not be separated from each other in order to avoid the pitfalls of impulsive decisions and ineffective data practices.

  continue reading

101 episoder

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