The industrial internet of things (IIoT) promises to connect machines and raise the speed of business and industry exponentially. In properly curated settings it can do just that. But what kinds of global problems offer the greatest opportunity for IIoT? In this session, The Data Guild’s Cameron Turner will share his experience in building a machine learning system to control one of the largest medical factories in the world. We will walk through the story from problem statement to solution and discuss the wins and pitfalls of data automation in an industrial setting. This talk is appropriate for technical and non-technical audiences alike with the goal of practical take-aways for the data/IIoT practitioner in a generalized setting.
Combining an extensive background in product research, data analysis, program management, and software development, Cameron co-founded ClickStream Technologies in 2003, which was acquired by Microsoft in 2009. While at Microsoft, he managed the Windows Telemetry team, responsible for all inbound data for all Microsoft products and partners. Cameron earned a B.A. in Architecture from Dartmouth College, an MBA from Oxford University and is currently finishing an M.S. in Statistics at Stanford University. He is an active member/speaker with various Bay Area tech groups: Churchill Club, SOFTECH, Young CEOs Club, The CIO Roundtable and BayCHI.
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