AI in Process Industries
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Organized by: Oguzhan Dogru — https://www.eventbrite.com/o/121554950867
From Models to Trusted Operational Decisions
Beyond Chatbots and Co-Pilots
Join a small-group working session for engineers, operators, and leaders exploring industrial AI and autonomous control.
You will leave with a clearer path from a promising model to a deployable industrial system.
This is not another generic chatbot or Copilot-style assistant discussion. We will focus on two distinct AI layers:
Physics AI: models that respect process behaviour and physical constraints to support monitoring, soft sensing, anomaly detection, and what-if analysis.
Physical AI: systems that perceive operating conditions and generate actions that controllers, equipment, or workflows can implement.
Across both layers, the relevant question has quickly evolved from whether AI can generate an output to whether the resulting action is safe, consistent, and right for the operational reality.
Together, we will work through:
- Where physics-based and data-driven AI create real operational value,
- Accuracy, consistency, and trustworthiness beyond a single benchmark,
- Governance, auditing, and accountability for AI-assisted decisions,
- Practical use cases across monitoring, optimization, and closed-loop control,
- The gap between a promising model and a deployable industrial system.
Bring a real challenge from your plant, control system, or AI initiative, so that we can work through how to constrain it with physics, validate it against operations, govern it with clear ownership, and integrate it responsibly into the control hierarchy.
If you build, operate, or govern safety-critical or energy-intensive systems, this practical, interactive, and confidential session is for you.
From Models to Trusted Operational Decisions
Beyond Chatbots and Co-Pilots
Join a small-group working session for engineers, operators, and leaders exploring industrial AI and autonomous control.
You will leave with a clearer path from a promising model to a deployable industrial system.
This is not another generic chatbot or Copilot-style assistant discussion. We will focus on two distinct AI layers:
Physics AI: models that respect process behaviour and physical constraints to support monitoring, soft sensing, anomaly detection, and what-if analysis.
Physical AI: systems that perceive operating conditions and generate actions that controllers, equipment, or workflows can implement.
Across both layers, the relevant question has quickly evolved from whether AI can generate an output to whether the resulting action is safe, consistent, and right for the operational reality.
Together, we will work through:
- Where physics-based and data-driven AI create real operational value,
- Accuracy, consistency, and trustworthiness beyond a single benchmark,
- Governance, auditing, and accountability for AI-assisted decisions,
- Practical use cases across monitoring, optimization, and closed-loop control,
- The gap between a promising model and a deployable industrial system.
Bring a real challenge from your plant, control system, or AI initiative, so that we can work through how to constrain it with physics, validate it against operations, govern it with clear ownership, and integrate it responsibly into the control hierarchy.
If you build, operate, or govern safety-critical or energy-intensive systems, this practical, interactive, and confidential session is for you.
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Where is it happening?
To be provided upon registration, To be provided upon registration, Calgary, AB T2G 2K7, CA, Canada
Event Location & Nearby Stays:
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Host or PublisherEventbrite
