Issues of sustainability in AI and new-age thematic investing:
"In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and u...
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges.Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments."-- |
Beschreibung: | 22 PDFs (295 pages) Also available in print. |
Format: | Mode of access: World Wide Web. |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9798369332832 |
Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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245 | 0 | 0 | |a Issues of sustainability in AI and new-age thematic investing |c Mohammad Irfan, Khaled Hussainey, Syed Ahmad Chan Bukhari, Yunyoung Nam, editors. |
246 | 3 | |a Issues of sustainability in artificial intelligence and new-age thematic investing | |
264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
300 | |a 22 PDFs (295 pages) | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Chapter 1. The role of AI in assessing and achieving the sustainable development goals (SDGs) -- Chapter 2. Evaluating infrastructure fund performance in India: a study of thematic investing -- Chapter 3. Exploring the intersection of sustainability challenges and artificial intelligence: bibliometric patterns and future research trajectories -- Chapter 4. Artificial intelligence approach to portfolio management: enhancing decision-making, efficiency, and alpha generation -- Chapter 5. Beyond conventional investment: an extensive look into thematic investment -- Chapter 6. Exploring digital currency adoption in India: insight from e-Rupee using technology acceptance model perspective -- Chapter 7. Do sustainable energy stock indices and precious metals perform as hedging assets during periods of uncertainty in international markets? -- Chapter 8. Green bond: a government initiative towards sustainable finance -- Chapter 9. Bridging finance and sustainability: Islamic financial institutions' contributions to the transition to sustainable energy -- Chapter 10. Impact of the Internet of things in sustaining performance and demonstrating sustainability -- Chapter 11. Analyzing persistence in sustainable indices and global stock indices: testing the market efficiency -- Chapter 12. Assessing the impact of green finance investments on sustainable development -- Chapter 13. Leveraging artificial intelligence for slum mapping and upgrading programs using drones: the case of Bangalore City, India -- Chapter 14. Navigating complexities through unveiling sustainability challenges in AI using a bibliometric approach -- Chapter 15. Framework for circular economy industrial cluster ecosystems to evaluate the sustainability of ESG performance. | |
506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
520 | 3 | |a "In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges.Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments."-- |c Provided by publisher. | |
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
588 | |a Description based on title screen (IGI Global, viewed 03/22/2024). | ||
650 | 0 | |a Artificial intelligence. | |
650 | 0 | |a Investments. | |
650 | 0 | |a Sustainable development. | |
655 | 4 | |a Electronic books. | |
700 | 1 | |a Bukhari, Syed Ahmad Chan, |e editor. | |
700 | 1 | |a Hussainey, Khaled |d 1972- |e editor. | |
700 | 1 | |a Irfan, Mohammad, |e editor. | |
700 | 1 | |a Nam, Yunyoung, |e editor. | |
710 | 2 | |a IGI Global, |e publisher. | |
776 | 0 | 8 | |i Print version: |z 9798369332825 |
856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3282-5 |3 Volltext |
912 | |a ZDB-98-IGB | ||
049 | |a DE-863 |
Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-98-IGB-00335459 |
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adam_text | |
any_adam_object | |
author2 | Bukhari, Syed Ahmad Chan Hussainey, Khaled 1972- Irfan, Mohammad Nam, Yunyoung |
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author2_variant | s a c b sac sacb k h kh m i mi y n yn |
author_facet | Bukhari, Syed Ahmad Chan Hussainey, Khaled 1972- Irfan, Mohammad Nam, Yunyoung |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | Q335 |
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collection | ZDB-98-IGB |
contents | Chapter 1. The role of AI in assessing and achieving the sustainable development goals (SDGs) -- Chapter 2. Evaluating infrastructure fund performance in India: a study of thematic investing -- Chapter 3. Exploring the intersection of sustainability challenges and artificial intelligence: bibliometric patterns and future research trajectories -- Chapter 4. Artificial intelligence approach to portfolio management: enhancing decision-making, efficiency, and alpha generation -- Chapter 5. Beyond conventional investment: an extensive look into thematic investment -- Chapter 6. Exploring digital currency adoption in India: insight from e-Rupee using technology acceptance model perspective -- Chapter 7. Do sustainable energy stock indices and precious metals perform as hedging assets during periods of uncertainty in international markets? -- Chapter 8. Green bond: a government initiative towards sustainable finance -- Chapter 9. Bridging finance and sustainability: Islamic financial institutions' contributions to the transition to sustainable energy -- Chapter 10. Impact of the Internet of things in sustaining performance and demonstrating sustainability -- Chapter 11. Analyzing persistence in sustainable indices and global stock indices: testing the market efficiency -- Chapter 12. Assessing the impact of green finance investments on sustainable development -- Chapter 13. Leveraging artificial intelligence for slum mapping and upgrading programs using drones: the case of Bangalore City, India -- Chapter 14. Navigating complexities through unveiling sustainability challenges in AI using a bibliometric approach -- Chapter 15. Framework for circular economy industrial cluster ecosystems to evaluate the sustainability of ESG performance. |
ctrlnum | (CaBNVSL)slc00005718 (OCoLC)1427691546 |
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dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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genre | Electronic books. |
genre_facet | Electronic books. |
id | ZDB-98-IGB-00335459 |
illustrated | Not Illustrated |
indexdate | 2024-11-26T14:52:00Z |
institution | BVB |
isbn | 9798369332832 |
language | English |
oclc_num | 1427691546 |
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publisher | IGI Global, |
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spelling | Issues of sustainability in AI and new-age thematic investing Mohammad Irfan, Khaled Hussainey, Syed Ahmad Chan Bukhari, Yunyoung Nam, editors. Issues of sustainability in artificial intelligence and new-age thematic investing Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 22 PDFs (295 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. The role of AI in assessing and achieving the sustainable development goals (SDGs) -- Chapter 2. Evaluating infrastructure fund performance in India: a study of thematic investing -- Chapter 3. Exploring the intersection of sustainability challenges and artificial intelligence: bibliometric patterns and future research trajectories -- Chapter 4. Artificial intelligence approach to portfolio management: enhancing decision-making, efficiency, and alpha generation -- Chapter 5. Beyond conventional investment: an extensive look into thematic investment -- Chapter 6. Exploring digital currency adoption in India: insight from e-Rupee using technology acceptance model perspective -- Chapter 7. Do sustainable energy stock indices and precious metals perform as hedging assets during periods of uncertainty in international markets? -- Chapter 8. Green bond: a government initiative towards sustainable finance -- Chapter 9. Bridging finance and sustainability: Islamic financial institutions' contributions to the transition to sustainable energy -- Chapter 10. Impact of the Internet of things in sustaining performance and demonstrating sustainability -- Chapter 11. Analyzing persistence in sustainable indices and global stock indices: testing the market efficiency -- Chapter 12. Assessing the impact of green finance investments on sustainable development -- Chapter 13. Leveraging artificial intelligence for slum mapping and upgrading programs using drones: the case of Bangalore City, India -- Chapter 14. Navigating complexities through unveiling sustainability challenges in AI using a bibliometric approach -- Chapter 15. Framework for circular economy industrial cluster ecosystems to evaluate the sustainability of ESG performance. Restricted to subscribers or individual electronic text purchasers. "In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges.Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/22/2024). Artificial intelligence. Investments. Sustainable development. Electronic books. Bukhari, Syed Ahmad Chan, editor. Hussainey, Khaled 1972- editor. Irfan, Mohammad, editor. Nam, Yunyoung, editor. IGI Global, publisher. Print version: 9798369332825 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3282-5 Volltext |
spellingShingle | Issues of sustainability in AI and new-age thematic investing Chapter 1. The role of AI in assessing and achieving the sustainable development goals (SDGs) -- Chapter 2. Evaluating infrastructure fund performance in India: a study of thematic investing -- Chapter 3. Exploring the intersection of sustainability challenges and artificial intelligence: bibliometric patterns and future research trajectories -- Chapter 4. Artificial intelligence approach to portfolio management: enhancing decision-making, efficiency, and alpha generation -- Chapter 5. Beyond conventional investment: an extensive look into thematic investment -- Chapter 6. Exploring digital currency adoption in India: insight from e-Rupee using technology acceptance model perspective -- Chapter 7. Do sustainable energy stock indices and precious metals perform as hedging assets during periods of uncertainty in international markets? -- Chapter 8. Green bond: a government initiative towards sustainable finance -- Chapter 9. Bridging finance and sustainability: Islamic financial institutions' contributions to the transition to sustainable energy -- Chapter 10. Impact of the Internet of things in sustaining performance and demonstrating sustainability -- Chapter 11. Analyzing persistence in sustainable indices and global stock indices: testing the market efficiency -- Chapter 12. Assessing the impact of green finance investments on sustainable development -- Chapter 13. Leveraging artificial intelligence for slum mapping and upgrading programs using drones: the case of Bangalore City, India -- Chapter 14. Navigating complexities through unveiling sustainability challenges in AI using a bibliometric approach -- Chapter 15. Framework for circular economy industrial cluster ecosystems to evaluate the sustainability of ESG performance. Artificial intelligence. Investments. Sustainable development. |
title | Issues of sustainability in AI and new-age thematic investing |
title_alt | Issues of sustainability in artificial intelligence and new-age thematic investing |
title_auth | Issues of sustainability in AI and new-age thematic investing |
title_exact_search | Issues of sustainability in AI and new-age thematic investing |
title_full | Issues of sustainability in AI and new-age thematic investing Mohammad Irfan, Khaled Hussainey, Syed Ahmad Chan Bukhari, Yunyoung Nam, editors. |
title_fullStr | Issues of sustainability in AI and new-age thematic investing Mohammad Irfan, Khaled Hussainey, Syed Ahmad Chan Bukhari, Yunyoung Nam, editors. |
title_full_unstemmed | Issues of sustainability in AI and new-age thematic investing Mohammad Irfan, Khaled Hussainey, Syed Ahmad Chan Bukhari, Yunyoung Nam, editors. |
title_short | Issues of sustainability in AI and new-age thematic investing |
title_sort | issues of sustainability in ai and new age thematic investing |
topic | Artificial intelligence. Investments. Sustainable development. |
topic_facet | Artificial intelligence. Investments. Sustainable development. Electronic books. |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3282-5 |
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