Case Studies and Best Practices
Bibliographic Data
| ID | 23561874 |
|---|---|
| Authors | Ishneet Kaur Dua (0009-0002-2928-8282), Parth Girish Patel (0009-0003-7800-9486) |
| Year | 2024 |
| Pages | 289-319 |
| Publication date | 2024-01-01 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Optimizing Generative AI Workloads for Sustainability (SOURCE_BOOK) |
| Publisher | Apress (PUBLISHER • US) |
| DOI | 10.1007/979-8-8688-0917-0_10 |
| OpenAlex | W4404480393 |
| ISBN | 9798868809170 |
| Language | EN |
In recent years, integrating artificial intelligence (AI) into various industries has led to significant advancements in efficiency, productivity, and sustainability. As organizations worldwide grapple with the urgent need to address environmental challenges, many have turned to AI as a powerful tool for implementing sustainable practices. This chapter explores real-world examples of sustainable AI implementations across different sectors, highlighting the challenges faced and the innovative solutions developed to overcome them.
Best practice · Political science · Environmental Sustainability in Business · Green IT and Sustainability · Law · Machine Learning in Materials Science
| Highly cited | No |
|---|