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WEBINAR: Generate Business Value for Electric Utilities with a Proven Data Science Program

Now available on demand: Experts discuss how data analytics can generate value for electric utilities.

Originally broadcast on Thursday, January 13, 2022 and is now available on-demand!
Sponsor: Dell Technologies and NVIDIA

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Description
The ongoing energy transition toward decarbonization requires a digital first mentality to successfully enable grid modernization initiatives that manage the requirements of distributed resources, bidirectional power, and probabilistic methods of forecasting resource supply and consumer load demand. Utilities are working to define where the sources of value are, and what services and capabilities they want to provide to their customers, employees, regulators, and shareholders. Analytics-based technologies are required to augment utility workforce skills to ensure that they can support this evolving utility business model.

The partnership between Dell Technologies, NVIDIA, and Domino Data Lab has yielded a single enterprise platform with purpose-built functionality for each step in the data analytics life cycle. Domino’s Enterprise MLOps platform is a "system of record" for data science work that streamlines data science projects from inception to scaled deployment. This webinar will provide insights into the hardware and software architected by Dell Technologies, NVIDIA and Domino specifically for the demanding platform requirements of today’s ML/AI models in the utilities industry.

In addition, The AES Corporation, one of the world’s leading renewable energy producers, will discuss how investing in technology, people, and processes has accelerated the delivery of ML/AI to achieve business goals across a variety of use cases including predictive maintenance, energy trading, shipping and logistics, and more. 

Attendees will learn the following:

  • Understand the key technology components that make up an enterprise class platform to develop, deploy, and manage AI/ML models
  • How this platform is helping utility companies overcome many of the challenges experienced in starting and scaling an enterprise analytics capability
  • How The AES Corporation rapidly proved ROI on AI/ML investments, going from 0 to 50 deployed models in 2 years by removing infrastructure friction, increasing collaboration, and improving management efficiency across the data science function.

Speakers

Russell Boyer
Global Energy Field Director, Utilities
Dell Technologies
Russell Boyer is the Global Energy Field Director for the utilities industry at Dell Technology where he leads the development of the Grid Modernization Strategy and Edge Solutions. He has twenty-two years experience working for and with utilities to help them leverage technology to achieve specific business outcomes. His previous roles include marketing, sales, product development, industry principal, presales, and consulting. He graduated from Texas A & M University with a MBA and a Bachelors in MIS.
Marc Spieler
Global Energy Director
NVIDIA
He is responsible for Global Business Development and Strategy for the Energy industry at NVIDIA. Through active engagement with major Energy companies and related research labs NVIDIA is creating Energy and Industrial HPC, Visualization, and AI enabled solutions to solve the industry’s most difficult problems. Before joining NVIDIA, Marc spent 13 years with Halliburton, where he held leadership positions in Commercial and Strategic Alliances, Technology Operations, Customer Financial Services, and Corporate Development.  Prior to Halliburton, Marc worked for Silicon Graphics, Inc. (SGI) where he held a variety of sales and business development roles in the energy vertical. Marc holds an MBA from Rice University in Texas and a Master of Science in Professional Development and Leadership as well as Bachelor of Science in Marketing from Winona State University in Minnesota.
Thomas Robinson
VP of Strategic Partnerships and Corporate Development
Domino Data Lab
He is responsible for building Domino's partner ecosystem, developing offerings which provide differentiated value to Domino's partners. He previously acted as Domino's Chief People Officer, responsible for building an organization to accomplish Domino's mission of unleashing data science to address the world's most important challenges. Prior to Domino, Thomas worked at Bridgewater Associates driving strategic transformation efforts for the firm, working first as a director in Bridgewater's Core Technology Department to define the next generation of enterprise architecture, then as a General Manager focused on recruiting and retaining technical talent.
Sean Otto PhD
Director of Analytics
The AES Corporation
Sean has had a variety of roles that, at their core, have all centered around driving analytic data products and leading individuals to execute in a timely fashion. Sean has worked in a variety of industries ranging from high tech, oil & gas, medical, and energy to aerospace. While all of them have different expertise, the foundational theme has been leveraging AI- and ML-driven data products to drive reduction in costs, improve current processes, and create new lines of business. Sean partners with key business stakeholders across the organization to strategize, set vision, and define internet of things, AI/ML, and data product strategies to support repeatable processes that turn raw data into new insights.Sponsored by:

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