Sep 23–26, 2019

Jim Scott
Head of Developer Relations, Data Science, NVIDIA

Jim Scott is the head of developer relations, data science, at NVIDIA. He’s passionate about building combined big data and blockchain solutions. Over his career, Jim has held positions running operations, engineering, architecture, and QA teams in the financial services, regulatory, digital advertising, IoT, manufacturing, healthcare, chemicals, and geographical management systems industries. Jim has built systems that handle more than 50 billion transactions per day, and his work with high-throughput computing at Dow was a precursor to more standardized big data concepts like Hadoop. Jim is also the cofounder of the Chicago Hadoop Users Group (CHUG).

Sessions

1:15pm–1:55pm Thursday, September 26, 2019

Location: 1A 21/22

Problems taking AI to production and how to fix them

Data Engineering and Architecture

Secondary topics: Model Development, Governance, Operations

Jim Scott (NVIDIA)

Data scientists create and test hundreds or thousands more models than in the past. Models require support from both real-time and static data sources. As data becomes enriched, and parameters tuned and explored, there's a need for versioning everything, including the data. Jim Scott examines the very specific problems and approaches to fix them. Read more.