About Our Topic

Join us for a lively, interactive session with Chris Masternak from IBM presenting Practical Data Science:

Watson for Natural Resources

Chris Masternak (https://www.linkedin.com/in/cmaster/), data scientist in Watson IoT at IBM, will discuss the application of machine learning tools (proprietary and open source) that are being applied to industrial operations data as it relates to the Watson for Natural Resources program. This will be a fairly end-to-end discussion on: our engagement model, use cases in operation with our clients, data science architectures, common data science issues, and plenty of demos of the technologies. In concert with both IT and Operations, the WNR program is bringing real-time insights based on public and private datasets to help Canadian Energy companies improve asset utilization and ROI for their facilities.

About Our Presenter

Chris Masternak is a data scientist at IBM. For the last three years, he has been leading the development of IBM’s Worker Safety and IoT Connected Solutions initiative for Canadian Energy companies. In addition to this, he has also managed industrial analytics projects in predictive maintenance, power optimization, and health and safety. Prior to joining IBM, Chris Masternak was a Project Engineer in Major Projects at TransCanada. He holds a Master’s in Biomedical Engineering from the University of Calgary, and a Bachelor’s in Physics and Electrical Engineering from UBC. In his spare time he enjoys aviation, skiing and golf.

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