Digital Intelligence for Energy Summit

The 2019 Summit is a senior level educational forum. It will focus on the technical capabilities and business models supporting the use of big data in the energy sector: from creating digital strategies that lead to business value and help inform capital investments, to current and near term technical capabilities including automation, advanced analytics and AI applications. 


Business / Leadership Focus:

  • Creating Digital Strategies that Lead to Business Value :What do we really want the data to do for us? Transforming Business Models and Processes to leverage digital applications
  • Establishing the end goals / defining the use case: what are we trying to achieve through utilizing big data? What insight or process improvements are we trying to achieve?
  • Developing an operating strategy in a data driven environment: How can we use big data and “AI” to inform capital investments?
  • Who owns the data and what does good data governance look like?
  • Consideration towards cost and security with increased data generating assets
  • Utilizing data to unlock solutions that can increase convenience and comfort for customers

Technical & Operational Focus: Ingesting, correlating and disseminating data in a meaningful and efficient capacity


  • Data visualization: bringing together large, disparate data sources across assets for real time visualization / deploying digital twins
  • Advanced analysis / predictive analytics for customer segmentation, load prediction, price forecasting, and DER management
  • Data driven asset performance and health analytics: capabilities and techniques for real-time processing for incident detection and/or prevention and post incident response analysis.
  • Achieving and applying levels of machine-learning and narrow AI to physical and non-physical systems and platforms
  • Robotic Process Automation (RPA) applications
  • Smart metering and leveraging customer data for improving revenue streams and enhancing customer experience
  • Cyber resilience: advanced data analytics for predictive and recovery modeling and planning
  • Leveraging cloud computing for big data analytics to increase operational efficiency and flexibility
  • Building the backbone for narrow AI: current concentration on innovative technologies to explore and develop computational capabilities with greater sophistication, autonomy, intelligence, and assurance
  • EV Charging, big data, and the grid
  • Utilizing weather data sets to help in optimizing wind and solar assets and to enhance energy trading, outage predication and load forecasting
  • UAS, Geospatial, and predictive analytics

Expected Number of Attendees


Relevant Government Agencies

Air Force, Army, Dept of Energy, Dept of Homeland Security, Other Federal Agencies, County Government, City Government, Federal Government, State & Local Government


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Wed-Thu, Jun 26-27, 2019, 8:00am - 5:00pm

Exhibit Dates
Wed-Thu, Jun 26-27, 2019


Federal, Military, State and Local Government:  $0.00 (Until 06/26/2019)
Non-profit / Utility:  $595.00 (Until 06/26/2019)
Industry:  $795.00 (Until 06/26/2019)

Mary M. Gates Learning Center
701 North Fairfax St
Alexandria, VA 22314
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Roosevelt Strategic Council
Defense Strategies Institute

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