Agora Pods: Morning Sessions

Deep Dive on Machine Learning for Energy Outcomes

Tuesday, March 12

10:00 am - 10:30 am

Operations across the energy ecosystem present many opportunities for machine learning to create efficiencies, predict potential failures and optimize productivity. See how supervised and unsupervised learning, neural networks and other techniques can be applied to provide valuable insights and directed actions from industrial data.

Session Speakers
  • Adam McElhinney

    Uptake

    Chief of Machine Learning and AI Strategy