Savi Technology continues its leadership of the sensor-based analytics market with the addition of technologist Jim Haughwout as Chief Architect.
According to the company, in this newly created role, Haughwout will be responsible for shaping Savi's software technology direction and roadmap, contributing to Savi's machine learning and artificial intelligence, and evangelizing the company's solutions.
Prior to joining Savi, Haughwout was Senior Vice President of Engineering & Operations at CustomMade Ventures, a Google Ventures portfolio company. Prior to CustomMade, he was Vice President of Commercialization & Technology at Cmed Technology, a life-sciences mobile and cloud provider specializing in data, and Chief Information Officer & Vice President of Technology at INgage Networks, an enterprise social network and mobile company.
"I am thrilled to be working with Jim again, he's a perfect fit for the Savi vision," said Andy Souders, Senior Vice President, Products and Strategy at Savi Technology. "Jim has built his career architecting massively scalable systems and leveraging technology to discover new insights and to do things previously impossible."
"Savi's 25 years in sensor-based analytics and data from millions of sensors uniquely positions us to take advantage of the current explosion of Data Science, Machine-to-Machine communications and the Internet of Things," said Haughwout (@JHaughwout). "At Savi, we can help enterprises to optimize asset visibility, risk management and operational efficiency at speeds and scales they could not have done before."
Haughwout held additional positions at Amgen, AOL, Booz Allen Hamilton, and MIT Lincoln Laboratory. He holds a Masters in Public Policy from Harvard University'sJohn F. Kennedy School of Government in Business and Government Policy. He received a Bachelor of Science in Aeronautical and Astronautical Engineering from the Massachusetts Institute of Technology (MIT).
Savi Technology provides organizations with operational analytics - the ability to collect and convert operational information into useful knowledge - from physical objects like supplies, equipment and cargo.
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