The impact of AI innovation on financial sectors in the era of industry 5.0:
"In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges for the banking and finance industry. As we embrace the era of Industry 5.0, financial institutions find themselves co...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
c2023
|
| Schriftenreihe: | Advances in Finance, Accounting, and Economics (AFAE) Book Series
|
| Schlagworte: | |
| Online-Zugang: | DE-898 DE-1049 DE-83 DE-706 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | "In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges for the banking and finance industry. As we embrace the era of Industry 5.0, financial institutions find themselves confronted with intricate decisions pertaining to investments, macroeconomic analysis, and credit evaluation, necessitating innovative technologies to navigate this complexity. Additionally, the mounting volume of financial transactions calls for efficient data processing and analysis. Considering these pressing concerns, scholars, academicians, and industry practitioners are eagerly seeking comprehensive insights into the transformative potential of AI and ML, specifically in bolstering resilience, fostering sustainable development, and adopting human-centric approaches within the financial sector. Offering a compelling solution to these critical challenges, The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0, edited by esteemed scholars Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, and Shaker El-Sappagh, embark on an in-depth exploration of the multifaceted functions and applications of AI and ML algorithms in the realm of finance. With a keen focus on Industry 5.0 principles such as resilience, human centricity, and sustainable development, this comprehensive compendium presents a collection of groundbreaking research papers that unveil the remarkable potential of AI/ML technologies in revolutionizing the financial services industry. By catering to a diverse audience comprising researchers, academicians, industrialists, investors, and regulatory bodies, this book actively invites contributions from industry practitioners and scholars, facilitating ongoing discussions on the efficacy of ML algorithms in efficiently processing vast financial data. As the financial landscape charts an ambitious course into Industry 5.0, the book emerges as an indispensable resource, empowering the industry with transformative advancements that will indelibly shape the future of finance. "-- |
| Beschreibung: | Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 09/12/2023) |
| Beschreibung: | 1 Online-Ressource (22 PDFs (xxi, 320 pages)) |
| Format: | Mode of access: World Wide Web. |
| ISBN: | 9798369300831 9798369300848 |
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| 520 | 3 | |a "In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges for the banking and finance industry. As we embrace the era of Industry 5.0, financial institutions find themselves confronted with intricate decisions pertaining to investments, macroeconomic analysis, and credit evaluation, necessitating innovative technologies to navigate this complexity. Additionally, the mounting volume of financial transactions calls for efficient data processing and analysis. Considering these pressing concerns, scholars, academicians, and industry practitioners are eagerly seeking comprehensive insights into the transformative potential of AI and ML, specifically in bolstering resilience, fostering sustainable development, and adopting human-centric approaches within the financial sector. | |
| 520 | 3 | |a Offering a compelling solution to these critical challenges, The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0, edited by esteemed scholars Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, and Shaker El-Sappagh, embark on an in-depth exploration of the multifaceted functions and applications of AI and ML algorithms in the realm of finance. With a keen focus on Industry 5.0 principles such as resilience, human centricity, and sustainable development, this comprehensive compendium presents a collection of groundbreaking research papers that unveil the remarkable potential of AI/ML technologies in revolutionizing the financial services industry. | |
| 520 | 3 | |a By catering to a diverse audience comprising researchers, academicians, industrialists, investors, and regulatory bodies, this book actively invites contributions from industry practitioners and scholars, facilitating ongoing discussions on the efficacy of ML algorithms in efficiently processing vast financial data. As the financial landscape charts an ambitious course into Industry 5.0, the book emerges as an indispensable resource, empowering the industry with transformative advancements that will indelibly shape the future of finance. "-- | |
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| author2 | Irfan, Mohammad Majid, M. Shabri Abd Elmogy, Mohammed El-Sappagh, Shaker |
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| id | DE-604.BV049399898 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:03:30Z |
| indexdate | 2024-12-17T19:01:35Z |
| institution | BVB |
| isbn | 9798369300831 9798369300848 |
| language | English |
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| publisher | IGI Global |
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| series2 | Advances in Finance, Accounting, and Economics (AFAE) Book Series |
| spelling | The impact of AI innovation on financial sectors in the era of industry 5.0 Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, Shaker El-Sappagh, editors Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global c2023 1 Online-Ressource (22 PDFs (xxi, 320 pages)) txt rdacontent c rdamedia cr rdacarrier Advances in Finance, Accounting, and Economics (AFAE) Book Series Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 09/12/2023) "In the dynamic and ever-changing financial landscape, the seamless integration of artificial intelligence (AI) and machine learning (ML) has presented unprecedented challenges for the banking and finance industry. As we embrace the era of Industry 5.0, financial institutions find themselves confronted with intricate decisions pertaining to investments, macroeconomic analysis, and credit evaluation, necessitating innovative technologies to navigate this complexity. Additionally, the mounting volume of financial transactions calls for efficient data processing and analysis. Considering these pressing concerns, scholars, academicians, and industry practitioners are eagerly seeking comprehensive insights into the transformative potential of AI and ML, specifically in bolstering resilience, fostering sustainable development, and adopting human-centric approaches within the financial sector. Offering a compelling solution to these critical challenges, The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0, edited by esteemed scholars Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, and Shaker El-Sappagh, embark on an in-depth exploration of the multifaceted functions and applications of AI and ML algorithms in the realm of finance. With a keen focus on Industry 5.0 principles such as resilience, human centricity, and sustainable development, this comprehensive compendium presents a collection of groundbreaking research papers that unveil the remarkable potential of AI/ML technologies in revolutionizing the financial services industry. By catering to a diverse audience comprising researchers, academicians, industrialists, investors, and regulatory bodies, this book actively invites contributions from industry practitioners and scholars, facilitating ongoing discussions on the efficacy of ML algorithms in efficiently processing vast financial data. As the financial landscape charts an ambitious course into Industry 5.0, the book emerges as an indispensable resource, empowering the industry with transformative advancements that will indelibly shape the future of finance. "-- Mode of access: World Wide Web. Artificial intelligence Finance / Data processing Finance / Mathematical models Machine learning Irfan, Mohammad edt Majid, M. Shabri Abd. edt Elmogy, Mohammed edt El-Sappagh, Shaker edt 9798369300824 print Erscheint auch als Druck-Ausgabe 979-8-3693-0082-4 X:IGIG http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0082-4 Verlag URL des Erstveröffentlichers |
| spellingShingle | The impact of AI innovation on financial sectors in the era of industry 5.0 |
| title | The impact of AI innovation on financial sectors in the era of industry 5.0 |
| title_auth | The impact of AI innovation on financial sectors in the era of industry 5.0 |
| title_exact_search | The impact of AI innovation on financial sectors in the era of industry 5.0 |
| title_exact_search_txtP | The impact of AI innovation on financial sectors in the era of industry 5.0 |
| title_full | The impact of AI innovation on financial sectors in the era of industry 5.0 Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, Shaker El-Sappagh, editors |
| title_fullStr | The impact of AI innovation on financial sectors in the era of industry 5.0 Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, Shaker El-Sappagh, editors |
| title_full_unstemmed | The impact of AI innovation on financial sectors in the era of industry 5.0 Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, Shaker El-Sappagh, editors |
| title_short | The impact of AI innovation on financial sectors in the era of industry 5.0 |
| title_sort | the impact of ai innovation on financial sectors in the era of industry 5 0 |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0082-4 |
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