Artificial Intelligence in FINTECH: Concepts, Use Cases and Case Studies

Dattana, Vishal; Udupi, Prakash Kumar; Pandey, Jitendra

ISBN 13: 9798864942888

Published by Independently published, 2023

About this Item

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Seller Inventory # I-9798864942888

Bibliographic Details

• Title: Artificial Intelligence in FINTECH: Concepts, Use Cases and Case Studies
• Publisher: Independently published
• Publication Date: 2023
• Language: English
• ISBN 13: 9798864942888
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Welcome to the world of artificial intelligence and FINTECH (Financial Technology) through this book titled “Artificial Intelligence in FINTECH”. This book is your gateway for exploration of cutting-edge technological intersection between Artificial Intelligence and Financial Technology (FINTECH). Through this book, the readers will embark on a journey into the transformative landscape of finance, guided by the relentless innovations brought forth by AI technologies.

The financial industry has always been at the forefront of the state-of-the-art technological evolution, and the advent of AI has ushered in a new era of unprecedented change. From robo-advisors and algorithmic trading to fraud detection and credit risk assessment, AI has penetrated its presence in every facet of the financial sector. From a finance perspective, AI is also reshaping the way we invest, transact, borrow and save. This book is your compass to navigate this rapidly evolving terrain of finance industry landscape.

Our aim of publishing this book is to provide the readers with a comprehensive understanding of how AI is birthing new financial startups, disrupting traditional financial services, and revolutionizing financial institutions. This book facilitates the reader to delve into the intricacies of machine learning, deep learning, natural language processing, and other AI subfields that have become an integral part of financial operations. The readers will gain insights into how these AI technologies empower financial institutions to make better informed decisions, optimize processes, and enhance customer experiences.

Through the blend of real-world examples, use cases and case studies, we will not only examine the current state of AI but also peer into the crystal ball to glimpse its future implications in the finance industry. We hope this book will serve as a valuable resource and provide a guiding force for professionals, students and enthusiasts seeking to understand the AI-driven transformation in finance.