Generative Ai For Financial Services
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Generative Ai For Financial Services
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Author : Vikesh Pandey
language : en
Publisher: BPB Publications
Release Date : 2024-12-02
Generative Ai For Financial Services written by Vikesh Pandey and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Computers categories.
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
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Author : Anshul Saxena
language : en
Publisher: Springer Nature
Release Date : 2024-12-01
Generative Ai In Banking Financial Services And Insurance written by Anshul Saxena and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-01 with Computers categories.
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
Fintech With Artificial Intelligence Big Data And Blockchain
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Author : Paul Moon Sub Choi
language : en
Publisher: Springer Nature
Release Date : 2021-03-08
Fintech With Artificial Intelligence Big Data And Blockchain written by Paul Moon Sub Choi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-08 with Technology & Engineering categories.
This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.
Ai Devops And Security Engineering For Futureready Insurance And Financial Services
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Author : Balaji Adusupalli
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Ai Devops And Security Engineering For Futureready Insurance And Financial Services written by Balaji Adusupalli and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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The Chatgpt Revolution
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Author : Abhishek Behl
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-05-22
The Chatgpt Revolution written by Abhishek Behl and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-22 with Computers categories.
The ChatGPT Revolution provides readers with an immersive journey into conversational AI powered by the ChatGPT framework. With real world examples and analysis, this work explores the potential of ChatGPT in scientific research, customer service, and business operations.
Utilizing Ai And Machine Learning In Financial Analysis
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
Automated Financial Excellence A Comprehensive Guide To Ai Powered Tax Preparation Accounting Payroll And Credit Monitoring Systems
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Author : Jeevani Singireddy
language : en
Publisher: Global Pen Press UK
Release Date :
Automated Financial Excellence A Comprehensive Guide To Ai Powered Tax Preparation Accounting Payroll And Credit Monitoring Systems written by Jeevani Singireddy and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Smart Financial Market Ai And The Future Of Banking
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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 written by Pritam Mehta and has been published by Centre for Academic Research and Excellence this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-25 with Law categories.
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.
Artificial Intelligence And Cognitive Computing
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Author : Miltiadis Lytras
language : en
Publisher:
Release Date : 2021
Artificial Intelligence And Cognitive Computing written by Miltiadis Lytras and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today's world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.
The Ai Revolution Driving Business Innovation And Research
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Author : Bahaa Awwad
language : en
Publisher: Springer Nature
Release Date : 2024-06-17
The Ai Revolution Driving Business Innovation And Research written by Bahaa Awwad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Technology & Engineering categories.
This comprehensive book explores the transformative role of artificial intelligence (AI) in business innovation and research. It provides a solid foundation in AI technologies, such as machine learning, natural language processing, and computer vision, and examines how they reshape business models and revolutionize industries. The book highlights the strategic implications of AI in enhancing customer experience, optimizing operations, and enabling data-driven decision-making. It explores the integration of AI with emerging trends like IoT, blockchain, and cloud computing for innovation. The role of AI in advancing scientific discovery and academic research is also explored, addressing challenges and opportunities in AI-driven methodologies. Organizational and ethical dimensions of AI implementation are considered, including talent acquisition, skills development, and data governance. Real-world case studies showcase AI's transformative power across diverse industries. This forward-thinking guide equips academics, researchers, and business leaders with knowledge and insights to harness the potential of AI and contribute to innovation and research.