PRE-RECORDED WEBINAR · LIVE Q&A

Why Should Production Teams Trust the Model?

Building Confidence in AI for Oil & Gas

Trust is one of the biggest barriers to AI adoption in oil and gas. In this session, we'll explore the key factors that build confidence in AI systems and show how CCR uses measurable performance metrics to deliver transparent, accountable results in the field.

September 29, 2026 · 10:00 AM CT

45 min — 30 min presentation + 15 min live Q&A

Livestorm

What You'll Learn

For many production teams, the challenge isn't understanding AI's potential—it's knowing when and why to trust it. This webinar explores how transparency, measurable performance, and real-world results build confidence in AI. Learn how models are trained, validated, and continuously monitored, and see how Cognitive Card Recognition (CCR) provides a practical example of trustworthy AI in action.

Why hesitation around AI in oil & gas usually comes down to confidence, not capability

How models are trained, validated, and kept honest through ongoing monitoring

How continuous production optimization uses AI to continuously monitor well performance, identify opportunities, and optimize in response to changing conditions

A practical, real-world look at how CCR puts these principles into action

PRE-RECORDED WEBINAR · LIVE Q&A

Why Should Production Teams Trust the Model?

Building Confidence in AI for Oil & Gas

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What You'll Learn

Meet the Speakers