Best practices from Piedmont/Italy and North Rhine-Westphalia/Germany

Artificial intelligence (AI) has the potential to significantly contribute to making companies more sustainable by improving efficiency, reducing waste, and identifying areas for improvement. AI can help companies make data-driven decisions that promote sustainability, reduce waste, and improve efficiency, which can have significant financial and environmental benefits.

For example, AI can optimize energy usage and reduce waste by analyzing data from sensors and other sources to identify energy-saving opportunities, AI can assist in developing sustainable products by analyzing data on consumer behavior and preferences, environmental impact, and resource usage, AI can assist in developing sustainable products by analyzing data on consumer behavior and preferences, environmental impact, and resource usage and much more.

At the same time, AI applications elsewhere can themselves be very energy-intensive, for example when it comes to training large language models. However, it is possible to develop AI systems that can learn efficiently with less data – artificial intelligence that does not require energy-intensive data centres, but meets the requirements of resource and data economy.