Machine Learning + AI
Your task is to deliver usable, multi-platform software with limited or no budget in weeks. Mission impossible? Learn what others have done and the helpful new technologies and tools they’ve used to successfully deliver POCs and MVPs in short time frames. Get 3 different perspectives from people in the trenches who are moving fast: a CEO, CTO/VP Engineering, and Developer.
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Sara Bates: CEO & Co-founder of MamaMend (Techstars ’18), Data Scientist, Engineer, Machine Learning Advisor, Co-organizer of Boulder Women in Machine Learning & Data Science (WiMLDS)
Diana Pfeil: Diana is a data scientist with a passion for building useful data products. She is currently a data scientist at Honey, and has worked in machine learning in various roles for 15+ years, including as a startup CTO, an adjunct at CU Denver teaching predictive analytics, and as a software engineer in the machine learning group at Amazon. She received a PhD from MIT, where she focused on machine learning and optimization.
Dan Burcaw: Dan is the Co-Founder & CEO of Nami ML, a company at the intersection of mobile and machine learning. Before Nami ML, Burcaw led mobile product for the Oracle Marketing Cloud. He joined Oracle via the acquisition of Push IO, a leading mobile messaging provider, where he served as Co-Founder & CEO.
Drinks and apps are on the house.