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020 _a9798868805592
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024 7 _a10.1007/979-8-8688-0559-2
_2doi
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050 4 _aTA347.A78
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072 7 _aCOM004000
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_2thema
100 1 _aSaxena, Anshul.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988409
245 1 0 _aGenerative AI in Banking Financial Services and Insurance
_h[electronic resource] :
_bA Guide to Use Cases, Approaches, and Insights /
_cby Anshul Saxena, Shalaka Verma, Jayant Mahajan.
250 _a1st ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aIX, 346 p. 11 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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505 0 _aPart 1: Introduction to Generative AI -- Chapter 1: Evolution of Generative AI -- Chapter 2: Technologies Behind Generative AI -- Chapter 3: Challenges and Potential Applications of Generative AI in BFSI -- Part 2: Generative AI’s Transformative Impact on Financial Verticals -- Chapter 4: Transforming Banking: The Next Frontier -- Chapter 5: Innovations in Investment Banking -- Chapter 6: Transformative Practices in Modern Financial Services -- Chapter 7: The Evolution of Insurance in the Digital Age -- Part 3: The Road Ahead for Generative AI in BFSI -- Chapter 8: Roadmap for AI Implementation in BFSI -- Chapter 9: Challenges in Mainstream Adoption -- Chapter 10: Ethical Dilemmas and Future Potential of Generative AI in the Financial Sphere.
520 _aThis book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI’s role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI’s present and future role in the BFSI sector. What You Will Learn Know what Generative AI is and its applications in the BFSI sector Understand deep learning and its significance in generative models Analyze the AI-driven techniques in portfolio management and customer-centric solutions Know the future of investment banking and trading with AI Know the challenges of integrating AI into the BFSI sector .
650 0 _aArtificial intelligence.
_958441
650 0 _aMachine learning.
_955059
650 0 _aPython (Computer program language).
_964608
650 0 _aBusiness enterprises
_xFinance.
_958021
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aMachine Learning.
_955059
650 2 4 _aPython.
_947553
650 2 4 _aCorporate Finance.
_957278
700 1 _aVerma, Shalaka.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988410
700 1 _aMahajan, Jayant.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_988411
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868805585
776 0 8 _iPrinted edition:
_z9798868805608
776 0 8 _iPrinted edition:
_z9798868813696
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0559-2
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