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ML 101 - Real-world lessons in AI for the Energy Sector
Presentation Overview
Artificial Intelligence (AI), Machine Learning (ML), Deep Learning - all these concepts are simply buzzwords unless they're being used in the real world to solve real problems. Fortunately, for those in the automation industry, there are plenty of opportunities to solve big, hairy problems with ML - the trick is knowing where to start.
- At AltaML, we've worked with Canadian partners to identify and launch dozens of compelling ML use cases. In this jargon-free presentation, we'll get into the weeds with:Â Demystifying AI and ML for strategic leaders, and building a business case to get started
- The good, the bad, and the ugly lessons from our experience scaling AI and ML in Canada
- Real-world examples where ML is making a difference in the industry today
By the end of this session, you'll have the tools you need to bring AI and ML out of academia and into your business.
Speaker Bio
Christopher Fletcher
Business Development Manager, AltaML
Chris is a born and raised Albertan with a mission to bring Edmonton's world-class AI research into commercial reality. He has been in business development for over a decade with companies like Apple and Granify, creating partnerships that bring cutting-edge technology to market.
At AltaML, Chris works with Energy, Logistics and Manufacturing industries to apply Machine Learning to the business, creating real-world results that streamline processes and build profitability with companies like PCL, AIMCO and Dynalife.
