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Beyond the Buzz: Making AI Work for Your Business – With Amir Hartman

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Contenido proporcionado por OCX Cognition. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente OCX Cognition o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Richard Owen and Amir Hartman explore the challenges companies face in adopting AI, particularly the high failure rates of AI projects. Owen compares the current AI landscape to previous technological waves, where early excitement led companies to invest in sandbox projects with little return. These projects are often ill-conceived or difficult to scale, resulting in wasted resources. Hartman agrees and points out that while most companies are investing in AI to "keep the lights on," few are focusing on truly innovative projects that could provide a competitive edge. The conversation touches on the disproportionate attention given to large language models like ChatGPT, which may overshadow more practical AI applications, such as embedding AI in physical assets like wind turbines and HVAC systems.

Hartman emphasizes that enterprise leaders face a tightrope walk between experimenting with AI and over-investing in unproven technology. While it’s essential to explore AI's potential, leaders must avoid waiting too long, as late adopters risk falling behind competitors. The key, according to Hartman, is finding a balance between innovation and practicality, ensuring that AI investments are thoughtful and focused on long-term value. Both speakers recognize the fast pace of AI development, driven by major tech players like Microsoft, Google, and Oracle, and agree that this wave of innovation presents both unique opportunities and significant risks for businesses.
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As President of Enterprise Solutions at Praxis AI, Amir drives market adoption and scales AI solutions for Praxis AI customers. He also leads AI strategy research with senior leaders at Dasteel Consulting, Experience Alliance and Fidere.ai. Previously, Amir was Managing Director of Customer Success at Oracle, enhancing digital strategies for cloud investments. Before Oracle, he co-founded Mainstay Company, improving sales and customer success for top tech firms. Earlier, Amir was a founding member at Cisco’s Internet Business Solutions Group, developing strategies for top customers.
Amir is passionate about building high-performance teams and fostering innovation. He is a keynote speaker and author of bestselling books “Net Ready,” “Competing for Customers,” and the upcoming “AI Ready”(2024). Amir has taught at Berkeley’s Haas School of Business and Harvard Business School.

Find out how predictive CX analytics can help your business: https://ocxcognition.com/
Follow us on LinkedIn: https://www.linkedin.com/company/ocxcognition/
Connect with Richard Owen on LinkedIn: linkedin.com/in/richard-owen-98ba3

  continue reading

39 episodios

Artwork
iconCompartir
 
Manage episode 448535208 series 3436445
Contenido proporcionado por OCX Cognition. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente OCX Cognition o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Richard Owen and Amir Hartman explore the challenges companies face in adopting AI, particularly the high failure rates of AI projects. Owen compares the current AI landscape to previous technological waves, where early excitement led companies to invest in sandbox projects with little return. These projects are often ill-conceived or difficult to scale, resulting in wasted resources. Hartman agrees and points out that while most companies are investing in AI to "keep the lights on," few are focusing on truly innovative projects that could provide a competitive edge. The conversation touches on the disproportionate attention given to large language models like ChatGPT, which may overshadow more practical AI applications, such as embedding AI in physical assets like wind turbines and HVAC systems.

Hartman emphasizes that enterprise leaders face a tightrope walk between experimenting with AI and over-investing in unproven technology. While it’s essential to explore AI's potential, leaders must avoid waiting too long, as late adopters risk falling behind competitors. The key, according to Hartman, is finding a balance between innovation and practicality, ensuring that AI investments are thoughtful and focused on long-term value. Both speakers recognize the fast pace of AI development, driven by major tech players like Microsoft, Google, and Oracle, and agree that this wave of innovation presents both unique opportunities and significant risks for businesses.
-----
As President of Enterprise Solutions at Praxis AI, Amir drives market adoption and scales AI solutions for Praxis AI customers. He also leads AI strategy research with senior leaders at Dasteel Consulting, Experience Alliance and Fidere.ai. Previously, Amir was Managing Director of Customer Success at Oracle, enhancing digital strategies for cloud investments. Before Oracle, he co-founded Mainstay Company, improving sales and customer success for top tech firms. Earlier, Amir was a founding member at Cisco’s Internet Business Solutions Group, developing strategies for top customers.
Amir is passionate about building high-performance teams and fostering innovation. He is a keynote speaker and author of bestselling books “Net Ready,” “Competing for Customers,” and the upcoming “AI Ready”(2024). Amir has taught at Berkeley’s Haas School of Business and Harvard Business School.

Find out how predictive CX analytics can help your business: https://ocxcognition.com/
Follow us on LinkedIn: https://www.linkedin.com/company/ocxcognition/
Connect with Richard Owen on LinkedIn: linkedin.com/in/richard-owen-98ba3

  continue reading

39 episodios

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