AI and Manufacturing: An Interview with Ed Jimenez of Sight Machine

Last month at North American Manufacturing Excellence Summit 2019 we spoke with Ed Jimenez of Sight Machine about what Artificial Intelligence can offer manufacturers, as well as some of the common challenges and opportunities to expect as organizations begin to use these new tools.

Ed Jimenez is the VP of Marketing for Sight Machine, the category leader in augmented analytics for manufacturing. In this role he focuses on helping manufacturers understand how a cloud-based, AI-enabled data platform can transform production operations. Previously, Mr. Jimenez led Cisco’s Enterprise and Industry Marketing teams. He also worked as a senior consultant helping Cisco’s largest customers understand how disruptive technologies affect the customer experience. Prior to joining Cisco, Mr. Jimenez led Gartner’s Retail & Consumer Products Practice. He also spent a number of years in the retail and manufacturing industries with positions in technology transformation and operations. Mr. Jimenez has published a number of papers on retail & manufacturing technology trends and was a regular host for the NBC Morning News.

Sight Machine is the category leader for manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine’s analytics platform, purpose-built for discrete and process manufacturing, uses artificial intelligence, machine learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise.

The platform is powered by the industry’s only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise.

Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.