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Thursday, April 11 • 3:45pm - 4:00pm
Glass Boxes: Building Trust in Machine Learning for IIoT

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To reach its full potential in industrial IoT, machine learning models must be applied automatically to drive efficiency, optimize performance, and prevent catastrophic events. But before that can happen, organizations must learn to trust these models. Industrial operators are understandably hesitant to turn over control of mission-critical systems to the machines, in part because machine learning algorithms are often opaque, complex, and difficult to explain. This talk will define the nature of the trust problem for machine learning in industrial IoT and discuss the often-overlooked importance of model explainability, presentation, and trust-building. We will demonstrate tools and techniques for presenting and explaining models, as well as using models more in creative ways that go beyond mere prediction. These tools will allow us to understand models more fully, use intuition and domain expertise to identify issues more easily, and ultimately establish the trust necessary to apply models automatically and at scale.

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avatar for Brad Johnson

Brad Johnson

Data Scientist, TwinThread
With a background in startup tech and consulting, Brad’s career in machine learning and industrial IoT kicked into high gear with a project helping Hershey produce Twizzlers more efficiently. As lead Data Scientist at TwinThread, Brad enjoys working on applying (and explaining... Read More →


Thursday April 11, 2019 3:45pm - 4:00pm EDT
Violet Crown: Theater 4 200 W Main St, Charlottesville, VA 22902, USA