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Why Slow Adoption Could Sink Your Business with Paul Baier of GAI Insights

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Conteúdo fornecido por Coach K. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Coach K ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
https://www.gtmaiacademy.com https://gaiinsights.com/ "Why Slow Adoption Could Sink Your Business"

Paul Baier CEO and CoFounder of GAI Insights offered a wealth of knowledge and strategic insights on the rapid adoption of generative AI in business during this enlightening podcast. Drawing from his extensive experience working with various companies, Paul discussed the urgency for businesses to embrace AI technologies and the potential pitfalls of slow adoption. He went into the challenges organizations face in implementing AI, from securing budget allocations to managing change across large workforces.

Listeners will gain valuable perspectives on how to prioritize AI projects for maximum ROI, understand the importance of experiential learning in AI adoption, and learn about emerging trends that could reshape industries. Baier's insights are particularly valuable for executives and decision-makers grappling with AI integration, offering practical advice on starting small with low-risk projects and building a culture of AI literacy.

We also touch on the potential impact of AI on job markets, the shift towards audio interfaces, and the looming disruption in the SEO landscape.

GAI Insights is also putting on an event sponsored by Forbes called GENERATIVE AI WORLD on October 7-8 in Boston. https://www.generativeaiworld2024.com/

Here are some highlights:

• The importance of alignment on AI urgency within organizations

• The shift from upskilling employees to improving customer service as a priority for AI investment

• The potential for significant job displacement in certain industries due to AI

• The value of learning communities in AI adoption

• The prediction of audio interfaces becoming dominant in AI interactions

• The potential disruption of the SEO industry by AI-powered search tools

Quotes from Paul Baier:

• "We aspire to be the Gartner of Gen AI."

• "Part of this knowledge worker, for instance, in entertainment in Hollywood was a real strike. That was a real strike for seven and a half months. It was no BS. And that was around ChatGPT 3.5."

• "We have a thousand interns at our fingertips in every possible thing here. Why are we thinking that our little monkey brain is so much better than they are?"

• "This is the worst AI for the rest of our lives. And it's still blowing us away."

• "We actually believe that slow follower in some industries is an absolute loser strategy."

• "Our grandkids are going to laugh. I said, when you applied for a job, you actually had to type something in interview here."

Had a blast talking with him, cannot wait for more!

  continue reading

32 episódios

Artwork
iconCompartilhar
 
Manage episode 439149386 series 3563480
Conteúdo fornecido por Coach K. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Coach K ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
https://www.gtmaiacademy.com https://gaiinsights.com/ "Why Slow Adoption Could Sink Your Business"

Paul Baier CEO and CoFounder of GAI Insights offered a wealth of knowledge and strategic insights on the rapid adoption of generative AI in business during this enlightening podcast. Drawing from his extensive experience working with various companies, Paul discussed the urgency for businesses to embrace AI technologies and the potential pitfalls of slow adoption. He went into the challenges organizations face in implementing AI, from securing budget allocations to managing change across large workforces.

Listeners will gain valuable perspectives on how to prioritize AI projects for maximum ROI, understand the importance of experiential learning in AI adoption, and learn about emerging trends that could reshape industries. Baier's insights are particularly valuable for executives and decision-makers grappling with AI integration, offering practical advice on starting small with low-risk projects and building a culture of AI literacy.

We also touch on the potential impact of AI on job markets, the shift towards audio interfaces, and the looming disruption in the SEO landscape.

GAI Insights is also putting on an event sponsored by Forbes called GENERATIVE AI WORLD on October 7-8 in Boston. https://www.generativeaiworld2024.com/

Here are some highlights:

• The importance of alignment on AI urgency within organizations

• The shift from upskilling employees to improving customer service as a priority for AI investment

• The potential for significant job displacement in certain industries due to AI

• The value of learning communities in AI adoption

• The prediction of audio interfaces becoming dominant in AI interactions

• The potential disruption of the SEO industry by AI-powered search tools

Quotes from Paul Baier:

• "We aspire to be the Gartner of Gen AI."

• "Part of this knowledge worker, for instance, in entertainment in Hollywood was a real strike. That was a real strike for seven and a half months. It was no BS. And that was around ChatGPT 3.5."

• "We have a thousand interns at our fingertips in every possible thing here. Why are we thinking that our little monkey brain is so much better than they are?"

• "This is the worst AI for the rest of our lives. And it's still blowing us away."

• "We actually believe that slow follower in some industries is an absolute loser strategy."

• "Our grandkids are going to laugh. I said, when you applied for a job, you actually had to type something in interview here."

Had a blast talking with him, cannot wait for more!

  continue reading

32 episódios

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