04354nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001300153050001400166072001600180072002300196072001500219100007700234245018700311250001800498264005400516300004300570336002600613337002600639338003600665347002400701505075900725520179501484650002903279650002203308650004003330650003503370650002903405650002203434650001203456650002303468700007703491700007803568710003403646773002603680776003603706776003603742776003603778856004603814979-8-8688-0559-2DE-He21320251030114558.0cr nn 008mamaa241201s2024    xxu|    s    |||| 0|eng d  a97988688055927 a10.1007/979-8-8688-0559-22doi 4aQ334-342 4aTA347.A78 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 aSaxena, Anshul.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aGenerative AI in Banking Financial Services and Insuranceh[electronic resource] :bA Guide to Use Cases, Approaches, and Insights /cby Anshul Saxena, Shalaka Verma, Jayant Mahajan.  a1st ed. 2024. 1aBerkeley, CA :bApress :bImprint: Apress,c2024.  aIX, 346 p. 11 illus.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 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.  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 . 0aArtificial intelligence. 0aMachine learning. 0aPython (Computer program language). 0aBusiness enterprisesxFinance.14aArtificial Intelligence.24aMachine Learning.24aPython.24aCorporate Finance.1 aVerma, Shalaka.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut1 aMahajan, Jayant.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z979886880558508iPrinted edition:z979886880560808iPrinted edition:z979886881369640uhttps://doi.org/10.1007/979-8-8688-0559-2