Companies are using AI in business sustainability to combat clinal changes.
Nature is not what it was a century ago. The introduction of modern living has taken a toll on our environment and sustainability. However, it is too late to go back in time and correct them since people are so used to this futuristic way of living. Unfortunately, the environment can’t take it anymore. We are facing constant climate change catastrophes in recent years. In 2021 alone, many unexpected natural disasters took place. Owing to the increasing collapse in nature, business organizations are coming forward to work in favor of less energy consumption. They are using AI in business sustainability to combat the growing climate change challenges.
For a very long time, global leaders have been talking about climate change and sustainability initiatives. However, the concept hit the mainstream in 2021. Today, many global organizations and top countries are insisting on people using artificial intelligence to address climate challenges. Artificial intelligence has also come a long way since it first came into existence. Currently, applications of AI are used in companies to achieve the net-zero emission target by 2050. Organizations are taking a holistic approach towards AI in business sustainability to experience good improvement in the coming years. If a business company opts to deploy AI across its functionalities, it will eventually help the organization serve its customers better while also minimizing environmental damages. In this article, IndustryWired has listed the top applications of AI in business sustainability that companies should try in 2022.
Top Applications of AI in Business Sustainability
Improving Circular Economy
Recycling hard and non-environmental friendly substances like plastic is very important to keep the sustainability level afloat. A combination of artificial intelligence, the internet of things, and geographic information systems (GIS) can help business organizations keep track of plastic substances. It will close the loop of secondary materials through supply chain and reuse.
Addressing Air Pollution
Air pollution is a growing challenge in the modern world. Although certain measures are constantly taken, a net-zero emission seems way too far. Therefore, companies can use big data to sort out air pollution. Organizations can get data-driven decisions to support their initiatives and find new ways to counter air pollution challenges effectively. For example, AirQo prototype is being used in Uganda to get air quality-related data.
Making AI Open-Source
Creating large AI models to give better performance of tasks has become a trend recently. However, large models are not environmentally friendly. They require more data and computation power to train and run, which eventually results in more carbon emissions. Therefore, organizations should come forward to make AI open-source. By doing so, everybody can get their hands on trained models without starting things from scratch.
Reducing Data Center Energy Usage with AI
Data centres are large consumers of energy. The bigger the data storage, the more energy consumption takes place. Therefore, to counter the challenge, big companies like Google are using AI systems to directly control their data centre cooling systems as a way to lower carbon emissions.
AI in Boosting Fuel Efficiency
Artificial intelligence has found its way even into the aviation industry. Aircraft are massive users of fuel. But AI can help them cut it slightly. Artificial intelligence can help find easier and best flight paths, which could improve field efficiency.