Aaryan Mehta

Agentic AI systems, and their capability for autonomous decision-making will significantly transform energy operations. However, implementation across complex operational environments can be challenging, especially when you are looking to scale beyond a single plant Agentic AI systems, and their capability for autonomous decision-making will significantly transform energy operations. However, implementation across complex operational environments can be challenging, especially when you are looking to scale beyond a single plantJoin this workshop to understand how to overcome the challenges you will face during the implementation stage and the benefits that can be achieved. 

Key Themes: 

• How Agentic AI is the solution you need when there isn’t enough human talent to get the job done 
• The importance of data quality when it comes to maximizing the impact of Agentic AI across OT environments 
• Identifying the best use cases for Agentic AI that can deliver real ROI  
• Identifying critical skill gaps and developing upskilling programs so your workforce can successfully support and interact with Agentic AI 
• Moving beyond providing practical insights and information to an agent that will proactively look for anomalies and provide resolution recommendations  

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