Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation
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Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation
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Author : Padma Naresh Vardhineedi, Dr. Anshita Shukla
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Driven Wealth Planning Harnessing Machine Learning And Large Language Models For Financial Innovation written by Padma Naresh Vardhineedi, Dr. Anshita Shukla and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Law categories.
PREFACE The financial industry is undergoing a profound transformation driven by artificial intelligence (AI). From automated investment strategies to real-time risk assessment, AI-powered tools are reshaping how wealth is managed, planned, and grown. With the rapid advancements in machine learning and large language models (LLMs), financial professionals have access to sophisticated solutions that enhance decision-making, optimize portfolio performance, and personalize client experiences like never before. This book, AI-Driven Wealth Planning: Harnessing Machine Learning and Large Language Models for Financial Innovation, explores the intersection of AI and wealth management. It delves into how AI is revolutionizing financial planning, risk assessment, tax optimization, estate planning, and client advisory services. By bridging the gap between traditional financial strategies and modern AI-driven approaches, this book serves as a comprehensive guide for wealth managers, financial advisors, fintech innovators, and investors seeking to leverage AI for competitive advantage. We begin with an introduction to the fundamental concepts of machine learning and large language models, offering a clear understanding of how these technologies work and their implications for the financial sector. From there, we explore real-world applications, case studies, and best practices for integrating AI into wealth planning strategies. Ethical considerations, regulatory challenges, and the future of AI in finance are also discussed, providing a balanced perspective on both opportunities and risks. As AI continues to evolve, so too will the landscape of financial planning. The goal of this book is to empower readers with the knowledge and insights needed to navigate this new era of AI-driven wealth management. Whether you are a seasoned financial professional or a technology enthusiast eager to understand the impact of AI on finance. Let’s embark on this journey into the world of AI-powered financial innovation. Authors
Smart Finance Harnessing Artificial Intelligence To Transform Tax Accounting Payroll And Credit Management For The Digital Age
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Author : Jeevani Singireddy
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-26
Smart Finance Harnessing Artificial Intelligence To Transform Tax Accounting Payroll And Credit Management For The Digital Age written by Jeevani Singireddy and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-26 with Business & Economics categories.
In an era where digital transformation is reshaping every industry, the world of finance stands at the forefront of change. The integration of artificial intelligence (AI) into financial operations is not merely a trend—it is a fundamental shift that is redefining how businesses and individuals manage money, ensure compliance, and make strategic decisions. Smart Finance: Harnessing AI to Transform Tax, Accounting, Payroll, and Credit Management for the Digital Age explores this evolution, offering a comprehensive look into how intelligent technologies are revolutionizing traditional financial practices. This book was conceived with a singular vision: to bridge the gap between advanced technology and practical financial application. We aim to provide professionals, students, and curious minds with insights into how AI is streamlining tax calculations, automating accounting tasks, optimizing payroll systems, and enhancing credit risk assessment. By drawing on real-world case studies, current innovations, and forward-thinking strategies, we strive to demystify complex algorithms and highlight their practical implications. Our intention is not only to inform but to inspire a mindset shift. Finance is no longer confined to spreadsheets and manual audits—it is becoming proactive, predictive, and profoundly data-driven. Through AI, finance professionals can move beyond routine tasks and embrace roles as strategic advisors and innovation leaders. We extend our gratitude to the technologists, accountants, tax experts, payroll specialists, and credit analysts who have contributed to this new frontier. Their willingness to embrace change and experiment with AI-driven solutions fuels the momentum toward smarter, more agile financial systems. As you delve into these pages, we invite you to envision a future where finance is not just managed but intelligently optimized. Welcome to the age of Smart Finance.
Machine Learning In Finance
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Author : Matthew F. Dixon
language : en
Publisher: Springer Nature
Release Date : 2020-07-01
Machine Learning In Finance written by Matthew F. Dixon and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-01 with Business & Economics categories.
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.
Ai In Marketing Sales And Service
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Author : Peter Gentsch
language : en
Publisher: Springer
Release Date : 2018-10-22
Ai In Marketing Sales And Service written by Peter Gentsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Computers categories.
AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.
Fintech In Sub Saharan African Countries
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Author : Mr.Amadou N Sy
language : en
Publisher: International Monetary Fund
Release Date : 2019-02-14
Fintech In Sub Saharan African Countries written by Mr.Amadou N Sy and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with Business & Economics categories.
FinTech is a major force shaping the structure of the financial industry in sub-Saharan Africa. New technologies are being developed and implemented in sub-Saharan Africa with the potential to change the competitive landscape in the financial industry. While it raises concerns on the emergence of vulnerabilities, FinTech challenges traditional structures and creates efficiency gains by opening up the financial services value chain. Today, FinTech is emerging as a technological enabler in the region, improving financial inclusion and serving as a catalyst for the emergence of innovations in other sectors, such as agriculture and infrastructure.
The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2024-03-14
The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-14 with Business & Economics categories.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Wipo Technology Trends 2019 Artificial Intelligence
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Author : World Intellectual Property Organization
language : en
Publisher: WIPO
Release Date : 2019-01-21
Wipo Technology Trends 2019 Artificial Intelligence written by World Intellectual Property Organization and has been published by WIPO this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-21 with Law categories.
The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Digital And Social Media Marketing
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Author : Nripendra P. Rana
language : en
Publisher: Springer Nature
Release Date : 2019-11-11
Digital And Social Media Marketing written by Nripendra P. Rana and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with Business & Economics categories.
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Behavioral Investment Management An Efficient Alternative To Modern Portfolio Theory
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Author : Greg B. Davies
language : en
Publisher: McGraw Hill Professional
Release Date : 2012-01-12
Behavioral Investment Management An Efficient Alternative To Modern Portfolio Theory written by Greg B. Davies and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-12 with Business & Economics categories.
The End of Modern Portfolio Theory Behavioral Investment Management proves what many have been thinking since the global economic downturn: Modern Portfolio Theory (MPT) is no longer a viable portfolio management strategy. Inherently flawed and based largely on ideology, MPT can not be relied upon in modern markets. Behavioral Investment Management offers a new approach-one addresses certain realities that MPT ignores, including the fact that emotions play a major role in investing. The authors lay out new standards reflecting behavioral finance and dynamic asset allocation, then explain how to apply these standards to your current portfolio construction efforts. They explain how to move away from the idealized, black-and-white world of MPT and into the real world of investing--placing heavy emphasis on the importance of mastering emotions. Behavioral Investment Management provides a portfolio-management standard for an investing world in disarray. PART 1- The Current Paradigm: MPT (Modern Portfolio Theory); Chapter 1: Modern Portfolio Theory as it Stands; Chapter 2: Challenges to MPT: Theoretical-the assumptions are not thus; Chapter 3: Challenges to MPT: Empirical-the world is not thus; Chapter 4: Challenges to MPT: Behavioural-people are not thus; Chapter 5: Describing the Overall Framework: Investors and Investments; PART 2- Amending MPT: Getting to BMPT; Chapter 1:Investors-The Rational Investor; Chapter 2: Investments-Extracting Value from the long-term; Chapter 3: Investments-Extracting Value from the short-term; Chapter 4: bringing it together, the new BMPT paradigm; PART 3- Emotional Insurance: Sticking with the Journey; Chapter 1: Investors- the emotional investor; Chapter 2: Investments- Constraining the rational portfolio; PART 4- Practical Implications; Chapter 1: The BMPT and Wealth Management; Chapter 2: The BMPT and the Pension Industry; Chapter 3: The BMPT and Asset Managemen