The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Harnessing AI for Sustainability: Innovations, Policies, and Investment Paradigms
Abstract
This chapter examines how AI and sustainability might operate together, focusing on novel approaches, policy consequences, and investment strategies. The report examines studies on theme investment in finance and sustainability aims. AI's role in cooperatively locating and assessing theme investment opportunities is examined using cognitive modelling, balancing various goals, intelligent data analysis, and problem-solving methods. The findings show that AI-driven thematic investing has enormous potential to help achieve sustainable development goals. By bringing together AI technologies, investors can spot and make the most of options that follow environmental, social, and governance (ESG) principles. It improves portfolios and makes them more sustainable over the long term. The integration of AI and thematic investing has profound social and practical implications. By leveraging AI technologies, investors can make more informed decisions that not only yield financial returns but also promote positive social and environmental outcomes. Additionally, the adoption of sustainable investment strategies can drive broader societal shifts towards a more equitable, resilient, and environmentally conscious future.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|