Arsineh Hecobian

AI is rapidly being adopted across the energy sector, but many implementations fall short because the data feeding them isn’t fit for purpose. This operator-led workshop dives into how to prepare your organization’s data architecture and culture to truly leverage AI for emissions management. From SCADA integration to model training and operational deployment, participants will examine how to align data quality, access, and structure to unlock measurable impact from AI investments.

• Understand what “AI readiness” really means — and how to identify and prioritize the data needed for effective model training.
• Explore how to integrate AI tools with SCADA and operational data streams to support predictive and real-time emissions management.
• Learn from practical examples of how AI-driven insights are reducing methane and operational inefficiencies in the field.
• Define best practices for scaling AI initiatives responsibly and embedding them within existing decision-making workflows.