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Generative AI for Banking

Author : Rakesh Kumar

Publisher : Independently Published

Page : 0 pages

File Size : 26,93 MB

Release : 2024-04-11

Category : Business & Economics

ISBN :

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Book Description

In the ever-evolving landscape of banking and finance, the integration of cutting-edge technologies has become imperative for institutions seeking to remain competitive and meet the evolving needs of their customers. Among these technologies, Generative Artificial Intelligence (Generative AI) stands out as a transformative force, offering unprecedented capabilities to revolutionize various facets of banking operations, customer experiences, and risk management. This book, "Generative AI for Banking," serves as a comprehensive guide to understanding and harnessing the power of Generative AI in the banking sector. From personalized customer experiences to fraud detection and regulatory compliance, Generative AI presents a multitude of opportunities for banks to enhance efficiency, mitigate risks, and drive innovation. Through a combination of theoretical insights, practical case studies, and hands-on tutorials, this book aims to equip banking professionals, data scientists, and AI enthusiasts with the knowledge and tools necessary to leverage Generative AI effectively. Readers will explore the fundamentals of Generative AI, including variational autoencoders (VAEs), generative adversarial networks (GANs), and other advanced techniques, and discover how these technologies can be applied to address real-world challenges in banking. Furthermore, this book delves into the ethical and regulatory considerations inherent in the adoption of Generative AI in banking, emphasizing the importance of responsible AI governance and transparent decision-making. By navigating the complexities of data privacy, algorithmic bias, and regulatory compliance, banks can ensure that their Generative AI initiatives align with industry standards and societal expectations. Whether you are a banking professional seeking to unlock new opportunities for customer engagement, a data scientist exploring the frontier of AI innovation, or a regulator shaping the future of financial services, "Generative AI for Banking" offers invaluable insights and practical guidance for navigating the intersection of artificial intelligence and finance. Join us on a journey to discover the transformative potential of Generative AI in banking and embark on a path towards building smarter, more inclusive, and ethically-driven financial ecosystems for the future.



Artificial Intelligence in Banking

Author : IntroBooks Team

Publisher : IntroBooks

Page : 31 pages

File Size : 19,72 MB

Release :

Category : Business & Economics

ISBN :

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Book Description

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided investors and customers with more innovative tools, new types of financial products, and a new potential for growth. According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, “In a world focused on using AI in new ways, we’re focused on using it wisely and responsibly.”



Artificial Intelligence in Banking

Author : Introbooks

Publisher :

Page : 50 pages

File Size : 33,16 MB

Release : 2020-04-07

Category :

ISBN :

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Book Description

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."



Generative AI in Banking

Author : Anand Vemula

Publisher : Independently Published

Page : 0 pages

File Size : 25,89 MB

Release : 2024-06-19

Category : Computers

ISBN :

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Book Description

"Generative AI in Banking: A Practical Handbook" explores the transformative impact of artificial intelligence (AI) on the banking industry. This book demystifies complex AI concepts and provides practical insights into how banks can leverage generative AI technologies to enhance customer experiences, streamline operations, and manage risks effectively. The handbook begins by laying a solid foundation in generative AI, explaining key concepts like GANs, VAEs, and natural language processing models. Readers learn how these technologies are applied in personalized banking services, fraud detection, compliance monitoring, and operational efficiency. Detailed case studies illustrate real-world applications, showcasing successful implementations across leading banks. Practical guidance is provided on developing a generative AI strategy, from identifying use cases and building business cases to piloting programs and scaling initiatives. The book emphasizes the importance of data management, integration with existing systems, and continuous monitoring for maintaining AI performance and reliability. Looking towards the future, the handbook explores emerging trends such as AI-driven hyper-personalization, autonomous banking services, and the evolving role of AI in regulatory compliance. It discusses the impact of AI adoption on banking jobs and skills, highlighting the need for upskilling in data science and AI ethics. Written in accessible language, "Generative AI in Banking: A Practical Handbook" is essential reading for banking professionals, AI enthusiasts, and anyone interested in understanding how AI is reshaping the financial services landscape.



Generative AI in Banking Financial Services and Insurance

Author : Anshul Saxena

Publisher : Apress

Page : 0 pages

File Size : 41,58 MB

Release : 2025-02-17

Category : Computers

ISBN :

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Book Description

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



AI in Banking: Innovating Financial Services

Author : DIZZY DAVIDSON

Publisher : Pure Water Books

Page : 95 pages

File Size : 13,81 MB

Release : 2024-08-30

Category : Computers

ISBN :

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Book Description

Are you struggling to fully understand how AI is transforming the banking industry? Are you curious about the ways AI can enhance customer service, detect fraud, and optimize operations? Look no further! “AI in Banking: Innovating Financial Services” is your comprehensive guide to navigating the complex world of AI in the financial sector. This book demystifies AI, offering clear explanations and practical insights into its applications in banking. Benefits of Reading This Book: Gain a deep understanding of how AI is revolutionizing banking. Learn practical applications of AI in customer service, fraud detection, risk management, and more. Discover how AI can enhance operational efficiency and security in your financial institution. Why This Book is Essential: Expert Insights: Written by industry professionals, this book provides authoritative knowledge on AI in banking. Real-World Examples: Learn from case studies and examples of successful AI implementations. Actionable Strategies: Get practical advice on how to apply AI concepts to improve your banking operations. Key Topics Covered: AI-powered customer service and virtual assistants Real-time fraud detection and prevention AI-driven risk management and credit assessment Personalized banking experiences through AI Regulatory compliance automation Predictive analytics for market trends and customer needs Automation of back-office operations AI in investment management and loan underwriting Enhancing cybersecurity with AI Take Action Now! Don’t miss out on the opportunity to become knowledgeable about AI in banking. Get your copy of “AI in Banking: Innovating Financial Services” today and unlock the benefits of AI for your financial institution. Transform your understanding and application of AI in the banking industry!



Hands-On Artificial Intelligence for Banking

Author : Jeffrey Ng

Publisher : Packt Publishing Ltd

Page : 232 pages

File Size : 35,11 MB

Release : 2020-07-10

Category : Computers

ISBN : 1788833961

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Book Description

Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data feeds and technology with Python Key FeaturesUnderstand how to obtain financial data via Quandl or internal systemsAutomate commercial banking using artificial intelligence and Python programsImplement various artificial intelligence models to make personal banking easyBook Description Remodeling your outlook on banking begins with keeping up to date with the latest and most effective approaches, such as artificial intelligence (AI). Hands-On Artificial Intelligence for Banking is a practical guide that will help you advance in your career in the banking domain. The book will demonstrate AI implementation to make your banking services smoother, more cost-efficient, and accessible to clients, focusing on both the client- and server-side uses of AI. You’ll begin by understanding the importance of artificial intelligence, while also gaining insights into the recent AI revolution in the banking industry. Next, you’ll get hands-on machine learning experience, exploring how to use time series analysis and reinforcement learning to automate client procurements and banking and finance decisions. After this, you’ll progress to learning about mechanizing capital market decisions, using automated portfolio management systems and predicting the future of investment banking. In addition to this, you’ll explore concepts such as building personal wealth advisors and mass customization of client lifetime wealth. Finally, you’ll get to grips with some real-world AI considerations in the field of banking. By the end of this book, you’ll be equipped with the skills you need to navigate the finance domain by leveraging the power of AI. What you will learnAutomate commercial bank pricing with reinforcement learningPerform technical analysis using convolutional layers in KerasUse natural language processing (NLP) for predicting market responses and visualizing them using graph databasesDeploy a robot advisor to manage your personal finances via Open Bank APISense market needs using sentiment analysis for algorithmic marketingExplore AI adoption in banking using practical examplesUnderstand how to obtain financial data from commercial, open, and internal sourcesWho this book is for This is one of the most useful artificial intelligence books for machine learning engineers, data engineers, and data scientists working in the finance industry who are looking to implement AI in their business applications. The book will also help entrepreneurs, venture capitalists, investment bankers, and wealth managers who want to understand the importance of AI in finance and banking and how it can help them solve different problems related to these domains. Prior experience in the financial markets or banking domain, and working knowledge of the Python programming language are a must.



AI and the Future of Banking

Author : Tony Boobier

Publisher : John Wiley & Sons

Page : 304 pages

File Size : 33,15 MB

Release : 2020-06-22

Category : Business & Economics

ISBN : 1119596122

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Book Description

An industry-specific guide to the applications of Advanced Analytics and AI to the banking industry Artificial Intelligence (AI) technologies help organisations to get smarter and more effective over time – ultimately responding to, learning from and interacting with human voices. It is predicted that by 2025, half of all businesses will be using these intelligent, self-learning systems. Across its entire breadth and depth, the banking industry is at the forefront of investigating Advanced Analytics and AI technology for use in a broad range of applications, such as customer analytics and providing wealth advice for clients. AI and the Future of Banking provides new and established banking industry professionals with the essential information on the implications of data and analytics on their roles, responsibilities and personal career development. Unlike existing books on the subject which tend to be overly technical and complex, this accessible, reader-friendly guide is designed to be easily understood by any banking professional with limited or no IT background. Chapters focus on practical guidance on the use of analytics to improve operational effectiveness, customer retention and finance and risk management. Theory and published case studies are clearly explained, whilst considerations such as operating costs, regulation and market saturation are discussed in real-world context. Written by a recognised expert in AI and Advanced Analytics, this book: Explores the numerous applications for Advanced Analytics and AI in various areas of banking and finance Offers advice on the most effective ways to integrate AI into existing bank ecosystems Suggests alternative and complementary visions for the future of banking, addressing issues like branch transformation, new models of universal banking and ‘debranding’ Explains the concept of ‘Open Banking,’ which securely shares information without needing to reveal passwords Addresses the development of leadership relative to AI adoption in the banking industry AI and the Future of Banking is an informative and up-to-date resource for bank executives and managers, new entrants to the banking industry, financial technology and financial services practitioners and students in postgraduate finance and banking courses.



Artificial Intelligence in Banking

Author :

Publisher :

Page : 0 pages

File Size : 23,45 MB

Release : 2020

Category : Artificial intelligence

ISBN : 9781393327738

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Book Description

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth. According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."



Artificial Intelligence in Financial Services and Banking Industry

Author : Dr. V.V.L.N. Sastry

Publisher : Idea Publishing

Page : 87 pages

File Size : 45,72 MB

Release : 2020-03-20

Category : Business & Economics

ISBN :

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Book Description

In the last couple of years, the finance and banking sectors have increasingly deployed and implemented Artificial Intelligence (AI) technologies. AI and machine learning are being rapidly adopted for a range of applications for front-end and back end processes to both business and financial management operations. Thus, it is quite significant to consider the financial stability repercussions of such uses. Since AI is relatively new, the data on the usage is largely unavailable, any analysis may be necessarily considered Preliminary1 . Some of the current and potential use cases of AI and machine learning in the finance sector include the following.  Institutions use AI and machine learning methods to optimize scarce capital, back-test models, and analyze the market impact of trading large positions.  Financial institutions and vendors use AI and machine learning techniques to evaluate credit quality for market and price insurance contracts, and to automate client interaction.  Brokers, hedge funds, and other firms are using AI and machine learning to find pointers for higher (and uncorrelated) returns to optimize trading execution.  Private and public sector institutions use these technologies for data quality assessment, surveillance, regulatory compliance, and fraud detection. This book seeks to map the use of AI in current state of affairs in the banking and financial sector. By doing so, it explores:  The present uses of AI in banking and finance and its narrative across the globe.