Aaryan has a background in Mathematics and Computer Science from Imperial College London, and previously worked as a software engineer at Amazon and Deutsche Bank. With deep expertise in neural networks and large language models, he co-founded Interface and leads their engineering division as CTO.
Energy operations are becoming more complex. Operations teams are being asked to do more with less. Experienced talent is retiring, while expectations for safety, uptime, and efficiency continue to rise.
Agentic AI represents the next step forward for efficient and autonomous decision-making. These systems go beyond analyzing data. They can make informed decisions, detect issues early, and recommend actions before small problems become major events.
Implementing this across real-world operations is not simple. Scaling beyond a single site, integrating with OT systems, and ensuring workforce adoption can feel overwhelming.
This session explores how to move from pilot projects to meaningful, scalable impact and how Agentic AI can become a trusted extension of the workforce.
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Check out the incredible speaker line-up to see who will be joining Aaryan.
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