With vast amounts of data, smart buildings can play a huge role in energy consumption reduction. Building management has to control the aspects of energy consumptio,n especially with the growing number of energy regulations and certifications. But oftentimes enterprises turn to energy management considerations rather than taking an all-encompassing enterprise management view. You can get smarter about enterprise management with AI.

Switching to the approach of enterprise management is simple. The answer: convergence.

Making the transition.

The convergence of IoT, artificial intelligence (AI) and machine learning with building systems can help convert data and information about the building into actionable resources. Smart, connected buildings that implement enterprise management systems can collect data from the building’s energy-based assets – such as lighting, HVAC, air ventilation, elevators, room equipment, and more.

Enterprise management systems help collect, analyze, and convert energy data into insights that help building managers improve energy efficiency.

This enterprise-level approach even introduces more connected devices like fire alarms, security cameras, and motion sensors, so analyzing data can happen under one system, helping to maximize enterprise savings and ROI. With energy, IT, and security operations monitored under a comprehensive platform, data is more seamlessly and automatically collected.

When data from multiple systems is collected with manual analysis, desired results are scarce due to the variety, velocity, and sheer volume of data.

Manual changes are considered a Big Data problem. When technologies like machine learning and AI are implemented, they can help automate the data collection and analyzation process. Patterns can be identified easily, helping to forecast, predict, and optimize building operations and increase energy efficiencies. With this self-aware, self-regulated and optimized ability, smarting buildings can improve sustainability efforts and deliver a better occupant and operating experience.

The Benefits of AI.

AI is used to increase sustainability in several ways. It helps sort through all of the data to find patterns and identify trends, especially when buildings have to make predictions about future energy demand or consumption. Enterprise management systems that incorporate AI and analytics offer a granular look into how a building is being used and the energy its consuming, whether it by floor or employee. By monitoring building usage, AI can identify patterns and provide recommended actions to the building managers.

For example, if a conference room is not regularly used, building managers can implement schedules, so the lights don’t need to be consistently on throughout the day.

Leveraging AI can also help provide insights into other factors that could affect building energy consumption, including changes in weather, natural disaster, and building occupancy rate. AI considers all elements to identify faults and opportunities to them provide recommended action for how a building manager can address the situation or adapt for a predicted future occurrence.

Keeping Gen Z in Mind.

In the age of smart buildings and connected technologies, employees are empowered to create better environments for themselves. With enterprise management systems, employees can control their environment during the workday or after-hours. Whether looking to adjust the level of light or control the temperature in their workspace, employees can enhance their comfort and productivity for a customized experience.

Along with savings will be increased productivity and improved building operations.

By leveraging enterprise management systems and utilizing accompanying data, smart buildings and owners can reap the rewards of reduced energy costs. All actions toward better building enterprise management support sustainability efforts and enhancing decision making across the organization. This new wave of sustainability is causing building managers to look at how their tenants engage with facilities.

Work cultures are changing, and technology and younger demographics are bringing a lot of change. Younger generations, like Gen Z, work differently. They prefer more collaborative environments and having the flexibility to work remotely, whether it’s from home or a nearby coffee shop. 

The Path Toward Smarter Buildings Starts Today.

Smart buildings exist today but leveraging enterprise management systems is critical to the success of reducing energy costs, increasing the productivity of staff, improving building operations, supporting sustainability efforts and enhancing decision making across the organization.

When a business makes the transition to a more holistic management platform, their building’s ability to be self-aware, self-regulated, and optimized transforms it into a smarter building. That improves sustainability efforts and delivers a better occupant and operating experience.

Sudhi Sinha

Sudhi Sinha is the vice president and general manager of Digital Solutions at Johnson Controls, focusing on bringing value to customers by reducing costs, minimizing risk and failures, and improving the comfort, health and safety of buildings and its occupants. Through his leadership, Sudhi helps create and commercialize new data-enabled and Internet of Things (IoT) offerings. He has full P&L responsibilities for the business including sales, operations, product management, marketing and technology development functions. In his more than 20 years of experience in business management and engineering, Sudhi has achieved several granted and pending patents in smart building technologies, and has published two books on big data and IoT. Sudhi lives in Milwaukee, Wis., U.S. and holds a bachelor’s degree in Engineering and Production Engineering from Jadavpur University, India.