Improving industrial monitoring with deep learning
Analyzing real-time sensor data from your facility
Wednesday, June 20, 2018
Duration: Approximately 60 minutes.
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As the cost of sensors and data storage plummets, manufacturers are mounting video and still image cameras throughout their facilities, harvesting massive amounts of rich-media time series data.
We describe a new data and analytics architecture that enables significant improvements in ongoing operational “Industrial Inspection.” Critical to the success of our efforts is a hybrid, extensible analytic architecture integrating diverse big data, and diverse analytics including deep learning. Based on our experiences with large customers, we identify core challenges to the effective use of new data and analytics, and detail how time-series image data can be used to engineer vastly improved predictions of production flaws and poor quality, thus improving yield and competitive advantage.
In this webcast, you’ll learn:
Ben MacKenzie, Director AI Engineering at Think Big Analytics
Bilal Paracha, Teradata Industrial Intelligence at Think Big Analytics