
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 ten 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.
Find Daniel Whitenack at:
Workshop
[SOLD OUT] AI Engineering - Building Generative AI Apps That Overcome Enterprise Barriers and Create Real Value
Product teams are scrambling to figure out what they will be doing with this latest wave of AI technologies, and engineering organizations are struggling to bring generative AI into enterprise environments.