Manuel Salgado

As oil and gas operators turn to Agentic AI to respond to changing conditions in real time, many are discovering that the limiting factor is often data reliability, governance, and responsiveness of the data infrastructure behind it. This session explores how modern data pipelines support real-time AI workloads, decrease operational risk, improve operational innovation, and close the gap between data and action. 

This workshop explores modern data movement and integration strategies to create resilient, observable, and governed data ecosystems for AI at scale — while balancing cost, control, and speed to value.

• Improve reliability and reduce downtime by utilizing agents to act on issues and adjust workflows before problems escalate 
• Strengthen frontline execution by enabling engineers, controllers and field teams with Agentic AI tools designed to respond to changing information and metrics that matter most 
• Drive measurable performance gains by connecting data directly to action, enabling faster responses in maintenance, production, safety, and supply chain operations 
• Accelerate your ability to rely on Agentic AI for operational decisions by delivering real time information that surface anomalies, risks, and optimization opportunities the moment they occur