Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Jim Scott

Jim Scott
Head of Developer Relations, Data Science, NVIDIA

@kingmesal

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

11:20am–12:00pm Wednesday, 09/12/2018
Data operations problems created by deep learning and how to fix them (sponsored by MapR)
Location: 1A 01/02
Jim Scott (NVIDIA)
Drawing on his experience working with customers across many industries, including chemical sciences, healthcare, and oil and gas, Jim Scott details the major impediments to successful completion of deep learning projects and solutions while walking you through a customer use case. Read more.
2:05pm–2:45pm Wednesday, 09/12/2018
Using the blockchain in the enterprise
Location: 1A 21/22 Level: Non-technical
Secondary topics:  Blockchain and decentralization, Financial Services
Jim Scott (NVIDIA)
Average rating: **...
(2.67, 3 ratings)
Jim Scott details relevant use cases for blockchain-based solutions across a variety of industries, focusing on a suggested architecture to achieve high-transaction-rate private blockchains and decentralized applications backed by a blockchain. Along the way, Jim compares public and private blockchain architectures. Read more.