Speaker: Daniel Whitenack

Founder & Data Scientist @Prediction Guard, Co-Host of the Practical AI podcast, Previously Built Data Teams at Two Startups and an International NGO

Daniel Whitenack (aka Data Dan) is a Ph.D. trained data scientist and founder of Prediction Guard. He has more than twelve years of experience developing and deploying machine learning models at scale, and he has built data teams at two startups and an international NGO with 4000+ staff. Daniel co-hosts the Practical AI podcast, has spoken at conferences around the world (QCon, ODSC, Applied Machine Learning Days, O’Reilly AI, GopherCon, KubeCon, and more), and occasionally teaches data science/analytics at Purdue University.

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Generative AI Engineering - Composable Building Blocks, Architectural Blueprints, and Enterprise-Grade Readiness

Generative AI took the consumer landscape by storm in 2023. and, in 2024, enterprises are expanding use cases and transitioning workloads from early experimentation into production.

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Level intermediate