AI’s impact on your controls—and your business

"Typically, 15-20% of sensors are inoperable or aren’t giving the right data. Having the ability to give a sensor artificially intelligent drive data while you’re replacing it slows down the need to be reactive. One of the challenges AI addresses is the lack of talent and labor for tasks like replacing sensors. So, instead of replacing a sensor today, you can replace it the next time you provide preventative maintenance as long as you’re providing good experiences and efficiency with your equipment."

- Bill Schwebel, Vice President and General Manager of Building Automation Systems and Controls

Explore the impact and disruption of artificial intelligence on HVAC-R controls and building automation with Bill Schwebel, Vice President and General Manager of Building Automation Systems and Controls. Bill joined the ESCO Institute podcast, Controls and Artificial Intelligence with Johnson Controls.

Listen to the podcast for insights on how AI can help you:

• AI’s Role in HVACR Efficiency – How AI-driven controls optimize system performance, improving energy efficiency and reducing operational costs.
• Predictive Maintenance & System Diagnostics – How machine learning algorithms can detect potential failures before they occur, transforming service calls and extending equipment lifespan.
• Integration with Smart Building Systems – The growing role of AI in connecting HVACR controls with lighting, occupancy sensors and renewable energy systems for a seamless, automated experience.
• Challenges & Future Developments – What obstacles the industry must overcome for broader AI adoption and what’s next for AI-driven HVACR innovation.