What's the Biggest Barrier to AI Adoption in the Energy Sector?

Written By Matt Chester

Do you know what are the most significant barriers to the widespread adoption of AI and machine learning in the energy sector today? Watch this compelling roundtable discussion titled "Technological Innovations: The Impact of AI and ML on the Energy Industry", where Carol Bogacz, Principal Consultant at 1898 & Co., addresses it and talks about:

  • The essential role of data quality, availability, and the "Five V's" in driving AI success.

  • Challenges with legacy infrastructure and the need for smart data collection systems.

  • The importance of a data-driven culture and skilled teams in embracing AI solutions.

  • How the right tools and analytics capabilities can bridge gaps in AI adoption.

"The energy sector deals with vast amounts of data—we need it to be good quality because we have sensitive information. Without proper data governance, AI can't deliver its full potential." - Carol Bogacz Presented by: Chester Energy & Policy, Vedeni Energy, powered by Saviant Consulting, Panelists Include:

  • Swaraj Jammalamadaka, Chief Technology Officer, Aypa Power

  • Carol Bogacz, Principal Consultant, 1898 & Co.

  • Scott Burk, Vertical Sales Specialist, Advantech

  • Kevin Santana, AI Data Scientist, EASYMETERING

  • Jignesh Shah, VP Client Services, Saviant Consulting

Moderator: Mathew Chester, Founder, Chester Energy & Policy

Matt Chester
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