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David Howard - Why AI Adoption is Harder Than AI Development
Manage episode 466106077 series 2821290
The conversation this week is with David Howard. David is a multidisciplinary data scientist and researcher with more than six years of industry experience and eight years in academia. He's been focused on pioneering advancements in generative AI and driving decision-making through insightful analytics, predictive modeling, and advanced data interpretation.
As a Ph. D. and former professor in mathematics with research in computer algorithms, he specializes in harnessing complex mathematical theories and applying them in practical ways to solve real-world problems. Makes a lot of sense being on this podcast because we really love applications. He is currently leading technical advancements at CoxAuto with a robust team of 45 data scientists, where his current role involves educating and mentoring others on the utilization of large language models in generative AI.
Always an educator, like myself, he hosts a bi-weekly seminar called Mundane to Masterful, educating more than 100 people as he demonstrates generative AI and its transformative potential across various industries.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!
Resources and Topics Mentioned in this Episode
- CoxAuto
- Pythagorean Triples
- FleetNet America
- Ready Logistics
- Gartner hype cycle
- Bayesian statistics
- MTEB Leaderboard
- Retrieval-Augmented Generation AI
Enjoy!
Your host,
Justin Grammens
106 afleveringen
Manage episode 466106077 series 2821290
The conversation this week is with David Howard. David is a multidisciplinary data scientist and researcher with more than six years of industry experience and eight years in academia. He's been focused on pioneering advancements in generative AI and driving decision-making through insightful analytics, predictive modeling, and advanced data interpretation.
As a Ph. D. and former professor in mathematics with research in computer algorithms, he specializes in harnessing complex mathematical theories and applying them in practical ways to solve real-world problems. Makes a lot of sense being on this podcast because we really love applications. He is currently leading technical advancements at CoxAuto with a robust team of 45 data scientists, where his current role involves educating and mentoring others on the utilization of large language models in generative AI.
Always an educator, like myself, he hosts a bi-weekly seminar called Mundane to Masterful, educating more than 100 people as he demonstrates generative AI and its transformative potential across various industries.
If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!
Resources and Topics Mentioned in this Episode
- CoxAuto
- Pythagorean Triples
- FleetNet America
- Ready Logistics
- Gartner hype cycle
- Bayesian statistics
- MTEB Leaderboard
- Retrieval-Augmented Generation AI
Enjoy!
Your host,
Justin Grammens
106 afleveringen
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