Artificial Intelligence can not only reduce the operating costs of companies, not only can it facilitate people's work (or steal it from them, depending on the areas and points of view), but it can also do a lot for fight against climate change. A study by the Boston Consulting Group entitled "Reduce carbon and costs with the power of AI" it has in fact quantified in a range between 2,6 and 5,3 gigatons the amount of carbon dioxide whose emission would be avoided between now and 2030, if companies use AI correctly. Translated as a percentage, it means a reduction of between 5 and 10% in greenhouse gas emissions over the next ten years.
But what does it mean to use artificial intelligence “correctly”? According to BCG, it is about exploiting “the ability of this technology to accelerate the sustainable transformation of enterprises”, and not just to generate profit. If in fact it was estimated up to The total potential impact is $2,6 trillion of additional revenue and cost savings, businesses around the world can also use AI to automatically monitor emissions and even predict future emissions, in relation to current reduction efforts, new carbon reduction methodologies, and to requests.
“The management and optimization of emissions is a complex problem for many realities – explains Roberto Ventura, Managing Director and Partner of BCG Gamma – and AI will be able to play a fundamental role in supporting companies in the fight against climate change, particularly in the sectors related to transport, industrial and pharmaceutical goods, the energy sector. Companies can therefore use artificial intelligence to minimize emissions and the carbon footprint of their activities but also of the entire value chain, including suppliers, carriers and end customers".
How to do it, Ventura always explains: "The great strength of AI lies in the ability to learn from experience, using massive amounts of data collected from various sources, and to be able to synthesize relationships for humans, sometimes extremely difficult to guess, with the aim of supporting decision making processes. Artificial intelligence is able to predict future emissions of the entire corporate value chain, in relation to expected production levels, current efficiency efforts and new technologies available. Consequently, it can be used to study, define and achieve emission reduction targets in a consistent way. Furthermore, AI can provide insights to improve the efficiency of various business processes, reducing emissions and cutting costs."
