Generative Ai For Financial Services
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Generative AI for Financial Services
DESCRIPTION Generative AI for Financial Services is a book targeted at any AI practitioner who wants to understand how generative AI works on a fundamental level and extend that learning to risks, challenges, and opportunities in regulated industries like financial services. This book explores generative AI and its applications in financial services. It starts by explaining key concepts, differences from traditional AI, and the generative AI lifecycle. Readers learn about foundation models, transfer learning, and implementation strategies, including fine-tuning and training models. Practical use cases like improving customer experiences, automating ESG analysis, and optimizing contact centers are covered. The book also addresses challenges like model bias, ethics, and compliance while focusing on building trustworthy AI with fairness and accountability. Finally, it highlights MLOps and FMOps for efficient AI model deployment and management in production environments. By the end of this book, you will be well-equipped to navigate the exciting world of generative AI and confidently apply its transformative potential within the financial services landscape. KEY FEATURES ● Evolve from a generative AI enthusiast to an advanced practitioner in generative AI. ● Learn effective ways of building generative AI solutions for financial services. ● Become familiar with the upcoming trends in generative AI space. WHAT YOU WILL LEARN ● Learn about popular use-cases, challenges, risks in financial services, and how to overcome those. ● Learn how to launch and scale generative AI applications in regulated environments like financial services, expanding from tens to thousands of use cases. ● Understand the operational aspects of AI, including MLOps and FMOps. ● Address challenges and ethical considerations in AI implementation. WHO THIS BOOK IS FOR This book is suitable for generative AI engineers, prompt engineers, ML engineers, data scientists, AI/ML, and technical leaders in financial services. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Types of Foundation Models 3. Generative AI Implementation Approaches 4. Generative AI Use-cases in Financial Services 5. Generative AI Challenges for Financial Services 6. Generative AI Anti-Patterns for Financial Services 7. Architectural Considerations in Generative AI 8. Use-case: Improving Customer Experience with Generative AI 9. Use-case: Contact Center Insights with Generative AI 10. Use-case: Fine-tuning for Financial Services 11. Use case: Automating ESG Analysis Using Agents 12. Choosing the Right Implementation Approach 13. Increasing Trustworthiness in Generative AI 14. Building Foundation Model Operations Practices
Generative AI in Banking Financial Services and Insurance
This 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 Who This Book Is For Professionals in the BFSI and IT sectors, including system administrators and programmers
Smart Financial Market: AI and the Future of Banking
Author: Pritam Mehta
language: en
Publisher: Centre for Academic Research and Excellence
Release Date: 2024-08-25
Smart Financial Market: AI and the Future of Banking offers a comprehensive exploration of how artificial intelligence is transforming the financial industry. This essential read covers critical topics such as FinTech innovations, robo-advising, and evolving payment methods. The book is a collaboration of experts, including engineers, professors, law students, and bank managers, ensuring that the content is both authoritative and up-to-date with the current landscape. Delving into the intersection of technology and finance, this book provides readers with insights into the latest AI-driven solutions that are reshaping banking services. From the rise of FinTech startups disrupting traditional banking models to the advent of robo-advisors offering personalized financial guidance, this book examines how AI is creating new opportunities and challenges within the financial sector.