Project Jupyter is very popular for data science, data exploration, and visualization. Manu Mukerji and Justin Driemeyer explain how to use it for AI/ML in a production environment.
Manu Mukerji is senior director of data, machine learning, and analytics at 8×8. Manu’s background lies in cloud computing and big data, working on systems handling billions of transactions per day in real time. He enjoys building and architecting scalable, highly available data solutions and has extensive experience working in online advertising and social media.
Justin Driemeyer is an ML staff engineer at 8×8. Previously, he spent three years at an ML B2B advertising startup (acquired by 8×8) and seven years at Zynga, as it went from a 10-person startup to a 2,000-person public company. He holds a BS in computer engineering from U of I and an MS in CS from Stanford, where he worked on the STAIR project.
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