Stefan Schwab, CEO of Enlighted, a company under Building Robotics, Inc., a Siemens company, highlights how artificial intelligence (AI) technology can leverage vast amounts of data for valuable insights. Beyond text, code, images, and video, machine learning principles can be applied to building IoT and occupancy data to optimize productivity and well-being in various work environments, from offices to hospitals to manufacturing facilities.
Enlighted states that most organizations have a significant amount of building data generated by IoT sensors that are often used only to detect mechanical problems. However, AI and ML analytics models can empower facilities managers to use space more productively and create more pleasant experiences for occupants. The number of IoT devices used in commercial smart buildings is projected to grow significantly, indicating a vast opportunity to tap into this data for various applications.
Real-time location systems (RTLS) powered by ML can combine sensor data with analytics to improve processes across industries. Applications like healthcare can benefit from optimizing resource allocation in hospitals to enhance patient care efficiency. In supply chain management, tracking equipment locations can help reduce downtime and optimize inventory levels dynamically. Employee productivity and comfort in the workplace can also be improved through technologies that adapt to individual preferences and create a more conducive working environment.
Intelligent building management systems using AI and ML can enhance cleaning efficiency in public spaces by leveraging sensor data to plan cleaning schedules based on usage patterns. Implementing best practices for AI- and ML-enhanced building IoT solutions, such as defining use cases, maintaining data security, and fostering cross-departmental partnerships, can help organizations maximize the benefits of these technologies in creating more productive workplaces.
Future-proofing investments in AI and ML technology requires a continuous learning approach to refine algorithms and adapt to emerging technologies in the field. By focusing on innovation, security, collaboration, education, and scalability, businesses can harness the power of AI and machine learning to streamline operations and enhance productivity in both physical spaces and human potential. The importance of proactive planning for change and staying updated on advancements in AI, ML, and IoT technologies is essential to driving ongoing productivity revolution in the workplace.
