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2018 GTC San Jose

S8714 - Deploying Machine Learning on the Oilfield: From the Labs to the Edge

Session Speakers
Session Description

Deploying machine learning-based predictive models to the oil field is quite challenging. They are remote, hazardous, and have spotty connectivity to the cloud. The world of operationalizing a model is very different than the perfect lab environment where the models are born. We'll detail the requirements of our oil and gas customers and how we were able to meet those requirements such that we could deploy a new generation of analytics with a complete software engineering discipline and mentality around it by taking advantage of the Microsoft IoT Edge platform. This is currently a pilot project under way and, due to the engineering principals in place, we are able to complete a loop from the field to the lab and back again.


Additional Information
AI Application Deployment / Inference, Autonomous Machines, IoT, Robotics & Drones, Predictive Maintenance & Monitoring
Manufacturing, Other
All technical
Talk
50 minutes
Session Schedule