Despite the challenges, AI-fueled software is already improving building management by efficiently collecting and using real-time data, enhancing transparency, and enabling informed decision-making. The AI training dataset market size is expected to grow to $7.23 billion by 2030, indicating the potential for substantial improvements in the industry. Companies can optimize their data in-house or entrust this work to third-party service providers with the necessary specialists and intelligent platforms.
Key takeaways:
- AI and ML technologies are already being used to control and optimize energy consumption in buildings, make forecasts, and enable natural communication with the building through large language models.
- Companies can use AI-powered software for resource consumption control and optimization, predictive maintenance, and seamless interaction with the facility.
- The adoption of smart platforms allows for data democratization, adherence to sustainability regulations, and enhanced convenience for work and life.
- Despite the current benefits, most companies still have their data unstructured and in massive data lakes, which impedes the full adoption and optimization of AI and ML in building management.