This session focuses on the enablement of operational artificial intelligence at scale within the landscape of a broader utility digital transformation which focuses on advanced analytics, digital platform and mobile application development, and robotic process automation. As AI has evolved over the last couple of decades, the industry strategy has shifted from scattered and ambiguous capabilities to solutions that have (1) focused business value and use case, (2) design and control processes for AI-friendly data, (3) harnessing the utility enterprise resources to classify/tag images and data, (4) democratization of AI model low-code/no-code development, and (5) plug and play end-point device capabilities to leverage AI in the field. Discussions in this session will include the linkage of ML modeling to quantify risk and integrate into work management and decision-making processes, tactical AI algorithm development for object detection and condition assessments, and leveraging new forms of data (e.g. photogrammetry, LiDAR, etc.) across an exponentially increasing spectrum of structured, unstructured and streaming information.

Participants

  • Kumar Mankala (Third Eye)
  • Adam Dow (SCE)
  • Ralph Granja (Accenture)
  • Kim Gilbert (Beyond Limits AI)

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