Industrial AI for Operators: Democratizing Data and Control with Canary Labs and SORBA.ai
Join Canary Labs and SORBA.ai for a technical deep dive into how industrial organizations are turning existing historian data into real-time, actionable intelligence, without the need for data scientists.
Most operations teams already have years of valuable data stored in their historian, but struggle to move beyond dashboards and retrospective analysis. In this session, we will demonstrate how native integration between Canary Labs and SORBA.ai enables a modern industrial architecture where data flows seamlessly into a Unified Namespace, is automatically prepared for machine learning, and is deployed into production for predictive and closed-loop control use cases.
Attendees will learn how to rapidly build and deploy AI models for predictive maintenance, process optimization, and anomaly detection directly from historian data. We will also showcase how these models can move beyond insights to take action, enabling real-time adjustments to processes that improve uptime, reduce energy consumption, and drive measurable ROI.
This webinar will cover real-world use cases across manufacturing, oil and gas, and energy, highlighting how teams are achieving value in days, not months, using a no-code approach designed for engineers and operators.
Key takeaways:
- How to unlock the full value of historian data using AI and automation
- Building predictive models directly from Canary Labs data without data science resources
- Deploying models at the edge, on-premises, or in the cloud with integrated MLOps
- Enabling closed-loop control and operational optimization in real time
- Proven approaches to accelerate time-to-value with industrial AI
Whether you are just starting your AI journey or looking to scale existing initiatives, this session will provide a practical roadmap for transforming your historian into a decision and control engine.
Presenters:
Bryan Thyken, Chief Revenue Officer of SORBA.ai
Steve Mason, Chief Operating Officer of Canary
