Proving the Business Case for the Internet of Things

E.On to optimise manufacturing with AI

William Payne
March 27, 2018



German energy group E.On is partnering Silicon Valley AI start-up Sight Machine to provide AI applications to manufacturing firms. E.On believes that AI can be used in parallel to increase efficiency in manufacturing and reduce energy costs throughout an industrial site.
 
Based in San Francisco, Sight Machine has created an IoT enabled digital manufacturing platform, which uses artificial intelligence, machine learning and analytics to help address challenges in quality, productivity and visualisation.
 
Sight Machine's expertise in the field of digital manufacturing is now being integrated with E.On's expertise in the energy industry to develop digital services for the European market to optimise energy and core manufacturing processes in unison. E.On is the first energy company with which Sight Machine will cooperate in Europe.
 
Alongside the partnership, E.On Scouting & Co-Investment has made a venture capital investment into Sight Machine.
 
E.On will integrate Sight Machine's technology to expand its own Optimum platform. With Optimum, E.On customers are already able to visualise their energy flows and identify potential improvements.
 
"Sight Machine has outstanding software and references in the industrial sector," said Bernd Schumacher, CEO of E.On Connecting Energies. “Together, we will make our business-to-business customers fit for the competition of the future with brand new solutions. In addition, we are showing an intelligent and efficient way to achieve CO2 savings in the economy.”
 
Through the partnership, manufacturing and energy data will be turned into actionable information; customers should see improvements in operations, leading to increased profitability and reduced CO2 emissions. The technology should also help manufacturers improve their machine up-time and utilisation through predictive maintenance, while production bottlenecks, quality issues and energy optimisations can be identified by pulling and analysing available data from across manufacturing facilities.
 
"In many manufacturing sectors, energy is a critical input and a significant source of cost variability," said Sight Machine CEO and co-founder Jon Sobel. "The partnership of E.On and Sight Machine will give manufacturers an unprecedented ability to evaluate how energy-related decisions will affect their productivity, quality and profitability."