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The Daily: What GenAI at Work Taught Us This Year, and What We Can Expect From It In 2025 | Dec 9, 2024

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Manage episode 454598516 series 1141400
المحتوى المقدم من eMarketer. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة eMarketer أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

On today’s podcast episode, we discuss why US workers’ adoption of AI might be slowing, how generative AI has helped companies and workers the most, how businesses can best quantify AI productivity gains, and how we expect the technology to help workers do their jobs better in 2025. Tune in to the discussion with Senior Director of Podcasts and host Marcus Johnson, Senior Vice President of Media, Content, and Strategy Henry Powderly and Vice President of Generative AI Dan Van Dyke.

Follow us on Instagram at:

https://www.instagram.com/emarketer/

For sponsorship opportunities contact us:
advertising@emarketer.com

For more information visit:

https://www.emarketer.com/advertise/

Have questions or just want to say hi? Drop us a line at podcast@emarketer.com

For a transcript of this episode click here:

https://www.emarketer.com/content/podcast-what-genai-work-taught-us-this-year-what-expect-2025

© 2024 EMARKETER

Data collaboration has the power to transform businesses when executed in a way that preserves privacy and enhances customer experiences at scale. Whether data collaboration takes place within a single enterprise or between a brand and media partner, it delivers more valuable business outcomes, be that unlocking new revenue streams, activating strategic partnerships, or deepening brand engagement throughout the entire customer journey. Data collaboration tools such as clean rooms help marketers maximize the value of first-party data within a privacy-conscious framework to optimize spend across walled gardens, media channels, and clouds. We hope you enjoy this podcast made possible by LiveRamp, a dynamic data collaboration platform trusted by leading companies to build strong relationships and deliver exceptional experiences. Learn more at LiveRamp.com.

  continue reading

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Artwork
iconمشاركة
 
Manage episode 454598516 series 1141400
المحتوى المقدم من eMarketer. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة eMarketer أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

On today’s podcast episode, we discuss why US workers’ adoption of AI might be slowing, how generative AI has helped companies and workers the most, how businesses can best quantify AI productivity gains, and how we expect the technology to help workers do their jobs better in 2025. Tune in to the discussion with Senior Director of Podcasts and host Marcus Johnson, Senior Vice President of Media, Content, and Strategy Henry Powderly and Vice President of Generative AI Dan Van Dyke.

Follow us on Instagram at:

https://www.instagram.com/emarketer/

For sponsorship opportunities contact us:
advertising@emarketer.com

For more information visit:

https://www.emarketer.com/advertise/

Have questions or just want to say hi? Drop us a line at podcast@emarketer.com

For a transcript of this episode click here:

https://www.emarketer.com/content/podcast-what-genai-work-taught-us-this-year-what-expect-2025

© 2024 EMARKETER

Data collaboration has the power to transform businesses when executed in a way that preserves privacy and enhances customer experiences at scale. Whether data collaboration takes place within a single enterprise or between a brand and media partner, it delivers more valuable business outcomes, be that unlocking new revenue streams, activating strategic partnerships, or deepening brand engagement throughout the entire customer journey. Data collaboration tools such as clean rooms help marketers maximize the value of first-party data within a privacy-conscious framework to optimize spend across walled gardens, media channels, and clouds. We hope you enjoy this podcast made possible by LiveRamp, a dynamic data collaboration platform trusted by leading companies to build strong relationships and deliver exceptional experiences. Learn more at LiveRamp.com.

  continue reading

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