Encyclopedia Of Business And Finance A I Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Encyclopedia Of Business And Finance A I book. This book definitely worth reading, it is an incredibly well-written.
Encyclopedia of Business and Finance: A-I by Burton S. Kaliski Pdf
Contains over 315 alphabetically arranged articles that provide information about the major functional areas of business, covering accounting, economics, finance, information systems, law, management, and marketing, as well as organizations in business and government, and federal legislation.
Author : John G. Maurer Publisher : Gale Research International, Limited Page : 1584 pages File Size : 43,6 Mb Release : 1995 Category : Business ISBN : 0810391880
Encyclopedia of Business and Finance by Anonim Pdf
"The Encyclopedia of Business and Finance, 3rd edition, covers finance and banking; accounting; marketing; management; and information systems, and is designed for the non-specialist. Contributors include executives, government administrators and scholars from leading business programs. This will be a full update of the previous edition, with coverage of the economic downturn and slow recovery of the global economy since the last edition. Existing entries have been thoroughly reviewed and revised, and approximately 30 new entries have been added"--
Applications of Artificial Intelligence in Business and Finance by Vikas Garg,Shalini Aggarwal,Pooja Tiwari Pdf
In the current competitive and technology-driven world, AI has emerged as growing technology that is applicable to many fields. As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, Applications of Artificial Intelligence in Business and Finance: Modern Trends, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the impact and application of AI on many diverse areas in finance and business, including e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more. This book will be useful for those in the fields of finance and business management and also for professionals in electronic and communication technology. It will also be useful for academicians, postgraduate students, research associates, and others.
Analytics in Finance and Risk Management by Nga Thi Hong Nguyen,Shivani Agarwal,Ewa Ziemba Pdf
This book presents contemporary issues and challenges in finance and risk management in a time of rapid transformation due to technological advancements. It includes research articles based on financial and economic data and intends to cover the emerging role of analytics in financial management, asset management, and risk management. Analytics in Finance and Risk Management covers statistical techniques for data analysis in finance It explores applications in finance and risk management, covering empirical properties of financial systems. It addresses data science involving the study of statistical and computational models and includes basic and advanced concepts. The chapters incorporate the latest methodologies and challenges facing financial and risk management and illustrate related issues and their implications in the real world. The primary users of this book will include researchers, academicians, postgraduate students, professionals in engineering and business analytics, managers, consultants, and advisors in IT firms, financial markets, and services domains.
Encyclopedia of Business Analytics and Optimization by Wang, John Pdf
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Encyclopedia of Small Business by Kevin Hillstrom,Laurie Collier Hillstrom Pdf
A collection of articles and overviews on issues relevant to small businesses, including financing, financial planning, business plan creation, and tax planning.
Artificial Intelligence for Asset Management and Investment by Al Naqvi Pdf
Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.
Encyclopedia of Data Science and Machine Learning by Wang, John Pdf
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Encyclopedia of Business and Professional Ethics by Deborah C Poff,Alex C. Michalos Pdf
This encyclopedia, edited by the past editors and founder of the Journal of Business Ethics, is the only reference work dedicated entirely to business and professional ethics. Containing over 2000 entries, this multi-volume, major research reference work provides a broad-based disciplinary and interdisciplinary approach to all of the key topics in the field. The encyclopedia draws on three interdisciplinary and over-lapping fields: business ethics, professional ethics and applied ethics although the main focus is on business ethics. The breadth of scope of this work draws upon the expertise of human and social scientists, as well as that of professionals and scientists in varying fields. This work has come to fruition by making use of the expert academic input from the extraordinarily rich population of current and past editorial board members and section editors of and contributors to the Journal of Business Ethics.
Machine Learning and AI in Finance by German Creamer,Gary Kazantsev,Tomaso Aste Pdf
The significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events. During the last decade, the world has witnessed a rapid expansion of applications of artificial intelligence (AI) and machine learning (ML) algorithms to an increasingly broad range of financial markets and problems. Machine learning and AI algorithms facilitate this process understanding, modelling and forecasting the behaviour of the most relevant financial variables. The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions. This volume proposes an optimal model for the volatility smile, for modelling high-frequency liquidity demand and supply and for the simulation of market microstructure features. Other new AI developments explored in this book includes building a universal model for a large number of stocks, developing predictive models based on the average price of the crowd, forecasting the stock price using the attention mechanism in a neural network, clustering multivariate time series into different market states, proposing a multivariate distance nonlinear causality test and filtering out false investment strategies with an unsupervised learning algorithm. Machine Learning and AI in Finance explores the most recent advances in the application of innovative machine learning and artificial intelligence models to predict financial time series, to simulate the structure of the financial markets, to explore nonlinear causality models, to test investment strategies and to price financial options. The chapters in this book were originally published as a special issue of the Quantitative Finance journal.
Encyclopedia of Business and Finance: J-Z by Burton S. Kaliski Pdf
Contains over 315 alphabetically arranged articles that provide information about the major functional areas of business, covering accounting, economics, finance, information systems, law, management, and marketing, as well as organizations in business and government, and federal legislation.
The SAGE Encyclopedia of Business Ethics and Society by Robert W. Kolb Pdf
Thoroughly revised, updated, and expanded, The SAGE Encyclopedia of Business Ethics and Society, Second Edition explores current topics, such as mass social media, cookies, and cyber-attacks, as well as traditional issues including accounting, discrimination, environmental concerns, and management. The new edition also includes an in-depth examination of current and recent ethical affairs, such as the dangerous work environments of off-shore factories for Western retailers, the negligence resulting in the 2010 BP oil spill, the gender wage gap, the minimum wage debate and increasing income disparity, and the unparalleled level of debt in the U.S. and other countries with the challenges it presents to many societies and the considerable impact on the ethics of intergenerational wealth transfers. Key Features Include: Seven volumes, available in both electronic and print formats, contain more than 1,200 signed entries by significant figures in the field Cross-references and suggestions for further readings to guide students to in-depth resources Thematic Reader′s Guide groups related entries by general topics Index allows for thorough browse-and-search capabilities in the electronic edition
International Encyclopedia of Business and Management by Malcolm Warner Pdf
This six-volume reference work provides users with an analysis of the history, theory, practice and future developments of business and management topics worldwide
Artificial Intelligence in Finance by Yves Hilpisch Pdf
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
