How AI Is Transforming Smart Buildings
Johnson Controls' Ganapathy on Overcoming IT/OT Integration Challenges
Smart buildings are moving toward fully autonomous systems as the convergence of OT and IT systems accelerates. But this shift presents integration challenges, particularly in orchestrating diverse systems and ensuring seamless interoperability.
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While artificial intelligence, digital twins and data standardization are addressing some of these issues and moving autonomous buildings closer to reality, integrating IT and OT systems is difficult when buildings lack standardization across regions or even within their own infrastructure.
Johnson Controls - a leader in connected building infrastructure - has been utilizing AI within its building management systems and fault detection algorithms for years. The company is currently focused on addressing energy consumption challenges and developing AI-driven optimization strategies for critical infrastructure.
"OT data can be noisy, so the focus should be on data quality rather than quantity," said Sivakumar Selva Ganapathy, vice president of OpenBlue Software Engineering Solutions at Johnson Controls. "Establishing governance frameworks and continuously monitoring for data outliers ensures that the information is both reliable and actionable."
In this video interview with Information Security Media Group, Ganapathy also discussed:
- Developing real-time controls and integrated systems for autonomous buildings;
- How AI is driving sustainability and energy efficiency in data centers;
- Implementing privacy-by-design principles and zero trust cybersecurity practices.
Ganapathy has managed high-performing teams globally. He has more than 20 years of leadership experience working with global organizations, including Honeywell, and has contributed to transformation initiatives at multi-site global capability centers in India.
