Revolutionizing energy operations with gen AI: Unlocking the power of real-time data

Global AI & Data Science

Train, tune and distribute models with generative AI and machine learning capabilities

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Join us as we explore how IBM and Microsoft are partnering to propel the energy industry towards a brighter, more sustainable future. The IBM Energy Data Hub, built on Open Source technology and deployable on Microsoft Azure, is a data platform designed to securely process and analyze streaming data from field assets in near real-time.

In this webinar, we'll delve into the capabilities and benefits of the IBM Energy Data Hub, including its ability to:

  • Securely process streaming operational technology (OT) and Internet of Things (IoT) data from field assets
  • Create digital insights for more intelligent operations of Clean Energy infrastructure
  • Integrate seamlessly with existing data sources for unparalleled performance and cost-effectiveness
  • Enable data-driven innovation and sustainability in the energy sector

Key speakers


Biren Gandhi, Executive Partner & Global Industry CoE Leader-Energy, Environment & Utilities, IBM

Biren leads IBM Consulting's global energy and utilities industry practice and community, overseeing strategy, talent management, and service offerings across 20+ countries.  He’s a regular speaker at industry conferences and forums on the topic of digital transformation, data and analysis, Wind O&M, and the Internet of Things in the Energy and Utilities industry.



Narayanan (Naru) Alampallam, Director Azure Global Partner Development, Microsoft

As Director Azure Global Partner Development, Naru is responsible is a seasoned professional with over 20 years of experience in IT and consulting. With a strong background in AI, cloud, and data analytics, Naru has a proven track record of delivering results-driven projects that drive business value. He is passionate about using technology to make a positive impact on communities and society.


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When:  Nov 6, 2024 from 11:00 AM to 12:00 PM (ET)