Machine learning (ML) is more than a technology. It's a sustainable solution that can help organizations build eco-friendly business models. In recent years, machine learning has also become more accessible, enabling leaders to take advantage of technology that can bolster business --and promote a better future for the planet. The commercial real estate sector has made some progress in making buildings more sustainable. With machine learning, organizations can monitor and report environmental impact on demand, efficiently manage data streams through AI, and reduce carbon emissions by closing the gap between the digital and the physical divide in the workplace. Carbon Lighthouse is an example of a company that is using machine learning to achieve sustainability in the commercial real estate sector using advanced solutions to make decarbonization easy and profitable.

A cyclist passes electric automobiles charging at Ubeeqo SAS electric vehicle charge stations in ... [ ] Paris, France, on Wednesday, May 27, 2020. President Emmanuel Macron's plan includes incentives for the purchase of electric cars, cash-for-clunkers to encourage consumers to trade in older, more polluting cars and subsidies for struggling car-parts makers. In November 2019, the first case of Covid-19 was reported in Wuhan, China. During the early days of the outbreak, local authorities attempted to clamp down on sharing information about the virus, but as the transmission strengthened in the region, the government imposed lockdown measures across China's Hubei province to control the spread of Covid-19. On January 22, Wuhan became the first major city under quarantine, and in the months that followed, many cities followed suit that caused a shock to the global economy.

A new approach to energy efficiency uses high tech tools to make many small adjustments rather than more costly tactics such as replacing big ticket items like windows and cooling equipment. Startups including Carbon Lighthouse and Redaptive are using data collection and machine learning to make a building's mechanical and electrical infrastructure use power more efficiently. Carbon Lighthouse has helped Tesla cut electricity use at the electric vehicle maker's headquarters by using sensors, data collection, software algorithms, and technical analysis. Carbon Lighthouse engineers focused on two large cooling towers, two chillers, and some pumps at Tesla headquarters. They found an error in how two systems were communicating with each other.