GenAI in the Enterprise: Cameron Cannon, PhD, Consultant at Propeller

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This morning on Generative AI In The Enterprise, Zach discusses GenAI with Cameron Cannon, PhD. Cameron has a breadth of experience across the administrative and clinical data and tech spaces using his psychologist background to help businesses solve problems. Today, Zach and Cameron dive into how GenAI aids in both his personal and professional life with things like brainstorming, ideation, …

GenAI in the Enterprise: David Maples, CEO of Catapult

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Today, David Maples, CEO of Catapult, joins the pod. David makes no bones about it, Generative AI is changing every business from daycare to drycleaning to zookeeping. However, companies seem to be reluctant to make the jump. Only 17% of Fortune 500 companies plan to fully integrate GenAI this year, with most kicking the can to next year or even …

GenAI in the Enterprise: Dale Thomas, Founder of ActionableOps

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Today on Generative AI In The Enterprise, Zach welcomes Dale Thomas, the Founder of ActionableOps. Maybe he picked it up back in his days working in Seattle’s music scene, but Dale has always had sort of a punk rock mentality. He gets after it, teaches himself what he needs to know, puts in the hard work, and does whatever it …

GenAI in the Enterprise: Caleb George, Director of Training at Centriq

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Welcome back to GenAI in the Enterprise! Today, Zach talks with Caleb George, the Director of Training and Curriculum at Centriq. As someone who works in education (specifically training devs), Caleb says that at first, GenAI tools like ChatGPT caused a lot of fear and concern in his community. However, further research quickly revealed that Generative AI is not a …

GenAI in the Enterprise: Pete George, Data Science, AI, & Machine Learning Expert

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GenAI in the Enterprise is back at it again! This time, Zach hosts Pete George, a certified expert in Data Science, AI, and Machine Learning. Peteโ€™s perspective on Generative AI is filtered through a data science and manufacturing lens. So today, weโ€™ll dive into how GenAI can be used to minimize defective variation while maximizing both output quality and efficiency …