It has been estimated that greater than 90% of the world's data was created in the last two years. Modern industrial processes generate petabytes of insightful process data that can be leveraged for process reliability and optimization, but are often left untapped. Applying the latest AI and ML technologies on vast process data archives is a proven means of generating tremendous benefits not achievable even just a few years ago.
Spartan Controls' Data Scientists and Engineers have focused on applying the latest technologies in the realm of data science to process industry problems and challenges. We combine our process knowledge, engineering backgrounds and process control expertise, with modern data science tools like reinforcement and deep learning, to uncover process optimization, process and equipment reliability opportunities. Process and equipment fault detection and diagnostics, predictive / prescriptive monitoring, self-learning control, real-time optimization, industrial soft-sensing prospects are common engagements for our team.
NSERC Industrial Research Chair in the Control of Oil Sands Processes
The NSERC Industrial Research Chair in Control of Oil Sands Processes is a major strategic initiative taken by the University of Alberta. The program is a partnership between Natural Sciences and Engineering Research Council of Canada (NSERC), Cenovus FCCL Ltd., Emerson Process Management, Spartan Controls Ltd, Suncor Energy Inc., Syncrude Canada Ltd. and the University of Alberta.
Spartan Controls Ltd. and AltaML Announce New Partnership
Spartan Controls and AltaML are pleased to announce they have entered into a formal partnership and strategic alliance to build transformative applications for the process industries in Western Canada.