Download Expert Systems In Finance full books in PDF, epub, and Kindle. Read online Expert Systems In Finance ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
The book is divided into four parts and begins by offering a framework for developing expert systems in finance and accounting. In the second part, the author reviews the current state of development for programming languages in expert systems, the computer hardware necessary to run expert systems, and expert system shells useful in developing business expert systems. Part 3 presents an in-depth examination of the procedures used in developing expert systems, while the final part focuses on typical applications of expert systems in finance and accounting.
Book Synopsis Expert Systems in Finance and Accounting by : Robert J. Thierauf
Download or read book Expert Systems in Finance and Accounting written by Robert J. Thierauf and published by Praeger. This book was released on 1990-01-19 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is divided into four parts and begins by offering a framework for developing expert systems in finance and accounting. In the second part, the author reviews the current state of development for programming languages in expert systems, the computer hardware necessary to run expert systems, and expert system shells useful in developing business expert systems. Part 3 presents an in-depth examination of the procedures used in developing expert systems, while the final part focuses on typical applications of expert systems in finance and accounting.
This book presents the reader with a complete and comprehensive picture of what is happening today in banks and other financial institutions in terms of expert systems implementation. In addition it helps in refining the reader's thoughts on how to build an environment for the successful implementation of expert systems in banking - and how to sell this concept to management including risks and opportunities.
Book Synopsis Expert Systems in Banking by : Dimitris N Chorafas
Download or read book Expert Systems in Banking written by Dimitris N Chorafas and published by Springer. This book was released on 2016-07-27 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the reader with a complete and comprehensive picture of what is happening today in banks and other financial institutions in terms of expert systems implementation. In addition it helps in refining the reader's thoughts on how to build an environment for the successful implementation of expert systems in banking - and how to sell this concept to management including risks and opportunities.
Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications' size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent. This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.
Book Synopsis Expert Systems in Finance by : Noura Metawa
Download or read book Expert Systems in Finance written by Noura Metawa and published by Routledge. This book was released on 2020-12-18 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications' size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent. This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.
The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.
Book Synopsis Expert Systems: Tools and Applications by : Paul Harmon
Download or read book Expert Systems: Tools and Applications written by Paul Harmon and published by . This book was released on 1988-01-18 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.
Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications’ size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent. This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.
Book Synopsis Expert Systems in Finance by : Noura Metawa
Download or read book Expert Systems in Finance written by Noura Metawa and published by Routledge. This book was released on 2019-05-10 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the industry, financial institutions seek to eliminate cumbersome authentication methods, such as PINs, passwords, and security questions, as these antiquated tactics prove increasingly weak. Thus, many organizations now aim to implement emerging technologies in an effort to validate identities with greater certainty. The near instantaneous nature of online banking, purchases, transactions, and payments puts tremendous pressure on banks to secure their operations and procedures. In order to reduce the risk of human error in financial domains, expert systems are seen to offer a great advantage in big data environments. Besides their efficiency in quantitative analysis such as profitability, banking management, and strategic financial planning, expert systems have successfully treated qualitative issues including financial analysis, investment advisories, and knowledge-based decision support systems. Due to the increase in financial applications’ size, complexity, and number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these applications using the traditional data processing model. The emergence of new research areas is clear evidence of the rise of new demands and requirements of modern real-life applications to be more intelligent. This book provides an exhaustive review of the roles of expert systems within the financial sector, with particular reference to big data environments. In addition, it offers a collection of high-quality research that addresses broad challenges in both theoretical and application aspects of intelligent and expert systems in finance. The book serves to aid the continued efforts of the application of intelligent systems that respond to the problem of big data processing in a smart banking and financial environment.
This volume is a collection of cutting-edge research and applications chapters dealing with Expert System (ES) technologies in finance. Expert Systems in Finance and Accounting provides a cross-section of materials dealing with the application of ES in both finance and accounting areas ranging from variance analysis and audit selection in accounting to commodity trading, computerized trading and credit risk assessment in finance. The book identifies issues and opportunities for applying Expert Systems technology to financial management, portfolio and investment analysis and financial institutions.
Book Synopsis Expert Systems in Finance by : Daniel Edmund O'Leary
Download or read book Expert Systems in Finance written by Daniel Edmund O'Leary and published by North Holland. This book was released on 1992 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of cutting-edge research and applications chapters dealing with Expert System (ES) technologies in finance. Expert Systems in Finance and Accounting provides a cross-section of materials dealing with the application of ES in both finance and accounting areas ranging from variance analysis and audit selection in accounting to commodity trading, computerized trading and credit risk assessment in finance. The book identifies issues and opportunities for applying Expert Systems technology to financial management, portfolio and investment analysis and financial institutions.
Articles written by foremost experts in their respective fields consider four major issues crucial for successful utilization of the technology in the research, development and implementation phases. Coverage includes areas of integration and design; the cognitive side of expert systems; key concepts and applications underlying verification, validation, auditability and security of expert systems; a variety of issues ranging from legal and training to actual production systems in areas of finance and accounting.
Book Synopsis Expert Systems in Business and Finance by : Lance B. Eliot
Download or read book Expert Systems in Business and Finance written by Lance B. Eliot and published by . This book was released on 1993-07-27 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Articles written by foremost experts in their respective fields consider four major issues crucial for successful utilization of the technology in the research, development and implementation phases. Coverage includes areas of integration and design; the cognitive side of expert systems; key concepts and applications underlying verification, validation, auditability and security of expert systems; a variety of issues ranging from legal and training to actual production systems in areas of finance and accounting.
Book Synopsis Expert Systems in Accounting by : Alex Edwards
Download or read book Expert Systems in Accounting written by Alex Edwards and published by Prentice Hall. This book was released on 1989 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Investment Management by : Robert R. Trippi
Download or read book Investment Management written by Robert R. Trippi and published by Van Nostrand Reinhold Company. This book was released on 1990 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa
Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
