Solving the Manufacturing Data Problem with the Digital Twin

Solving the Manufacturing Data Problem with the Digital Twin

The good news: there’s more data available on the factory floor than ever before. The bad news: most manufacturers have been unable to turn most of that data into useful information due to the data variety challenge.

The digital twin is one of the most important new technologies to help manufacturers drive actionable insights from their data. In fact, Gartner named it as one of the five most important emerging technology trends for 2017. Come learn about the industry’s first “plant” digital twin, which mirrors the entire production process, including machines, lines and plants.   During this session, Sight Machine will also review:

Key Take-Aways:

SPEAKERS

Jon Sobel

Jon Sobel
Co-Founder & CEO

Sight Machine

Jon has served on the management teams of several companies in pioneering industries, including Tesla Motors, SourceForge, and in its early years, Yahoo! Jon holds an BA from Princeton, a JD from the University of Michigan, and an MBA from Wharton.