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                Whitepaper
                Green AI

                Use Cases - Best Practices - Future Developments

                Best Practices for Sustainable Artificial Intelligence in Business

                Quantifying and increasing the sustainability of AI systems.

                The growth of artificial intelligence in companies is increasing rapidly. The ecological footprint of AI is therefore becoming more and more significant. The lack of transparency about the emissions caused and the lack of knowledge about possible measures for the ecologically conscious design of AI are slowing down the acceptance of responsibility. The topic of "green" artificial intelligence (Green AI) still raises many questions, although the prerequisites for initial steps in the company are already in place.

                How is environmental sustainability of AI measurable? What measures are available to developers? How can those responsible make the field more sustainable?

                The white paper covers the following content:

                • Sustainable artificial intelligence in companies
                • Possibilities for automatic quantification
                • Best practices with measurable impact
                  • Hardware and infrastructure
                  • Model selection and training
                  • Model operation
                  • Organisational framework
                • Application ideas of AI for sustainable purposes in the enterprise
                • Hurdles of green AI in the enterprise
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