Johnson Controls Uses AI to Cut Energy Waste in Buildings

Johnson Controls is addressing the significant challenge of energy waste in commercial buildings, which contribute to approximately 37% of global carbon emissions. The company is leveraging artificial intelligence and data analytics to enhance energy efficiency and reduce costs for property owners. By utilizing data from sensors throughout buildings, they can gain insights into space usage and equipment performance. This approach not only aids in tracking equipment efficiency but also supports the integration of renewable energy sources and eco-friendly materials. In 2021, the company launched OpenBlue, a software platform designed to standardize sensor data and create a digital twin of buildings. This initiative aims to improve data maturity and facilitate better monitoring of equipment failures and energy output. The CTO, Vijay Sankaran, emphasizes the importance of having consistent data formats to effectively measure progress towards net-zero commitments. Currently, Johnson Controls is in the piloting phase of generative AI, exploring its potential to enhance data collection and organization. This technology is expected to improve the handling of unstructured data, such as PDFs, which can be crucial for operational efficiency. The company is also testing third-party generative AI products across various departments, indicating a broader interest in integrating advanced technologies into their operations. As the demand for energy-efficient solutions grows, Johnson Controls is positioned to capitalize on the multibillion-dollar opportunities within the construction and property management sectors. Their innovative use of AI and data analytics not only addresses environmental concerns but also offers significant cost savings for building owners.