201: Quantitative Risk & Data Analytics: Transforming Decision-Making at PG&E
Date & Time
Wednesday, November 1, 2023, 11:15 AM - 12:00 PM
Jonathan Glassman, Ph.D., P.E., CRE Manuj Sharma

How an organization makes critical decisions is the result of multiple factors, including its history, culture, technology, data, and people. If we imagine an organization’s decision-making function as a marketplace where different stakeholders work together to achieve the best outcome for the business — then risk is the common currency used to quantify and express the pros and cons for any decision. Risk models, either data-driven machine learning models or physics-based analytical models, produce the quantitative metrics that inform decision-making. When these risk models are scaled to inform enterprise-level decision-making, they provide the requirements that can foster an organization’s digital transformation. This presentation will uncover, soup-to-nuts, Exponent’s collaborative approach with Pacific Gas and Electric (PG&E) to deploy risk models that enabled a mutually beneficial overhaul of their digital systems. By stitching together otherwise separate tools, data sets, and processes into an engineering-driven risk framework, all utilities can achieve their own comprehensive, science-based process for enhanced decision-making.

Session Takeaways:

  • Understand, through a detailed example, how to scale from a proof-of-concept risk model to a production-ready digital solution using forward-leaning requirements derived from multidisciplinary subject matter experts collaborating from the start.
  • Learn how developing and deploying a comprehensive risk model provides software and data system requirements that enable your organization to achieve its digital transformation objectives.
  • Recognize that risk is a common currency used by different stakeholders to ensure that your organization’s decision-making consistently seeks the optimal solution.
  • Learn how a solution is agnostic to the technology it is deployed across, thereby enabling its use in any environment.
Location Name
Tuscan I
Full Address
Loews Portofino Bay Hotel at Universal Orlando
5601 Universal Blvd
Orlando, FL 32819
United States
Focus Area
Enterprise Analytics
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