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Author: Noura Metawa
Publisher: Routledge
ISBN: 9780367729011
Category :
Languages : en
Pages : 14
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Book Description
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.
Author: Noura Metawa
Publisher: Routledge
ISBN: 9780367729011
Category :
Languages : en
Pages : 14
Get Book Here
Book Description
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.
Author: Dimitris N Chorafas
Publisher: Springer
ISBN: 1349113689
Category : Business & Economics
Languages : en
Pages : 397
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Book Description
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.
Author: Noura Metawa
Publisher: Routledge
ISBN: 042965930X
Category : Business & Economics
Languages : en
Pages : 14
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Book Description
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.
Author: Paul Harmon
Publisher: Wiley
ISBN: 9780471839507
Category : Computers
Languages : en
Pages : 289
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Book Description
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.
Author: Daniel Edmund O'Leary
Publisher: North Holland
ISBN:
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
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.
Author: Robert J. Thierauf
Publisher: Praeger
ISBN:
Category : Business & Economics
Languages : en
Pages : 296
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Book Description
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.
Author: Lance B. Eliot
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 400
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Book Description
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.
Author: Alex Edwards
Publisher: Prentice Hall
ISBN:
Category : Business & Economics
Languages : en
Pages : 280
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Book Description
Author: John R. Wolberg
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : de
Pages : 264
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Book Description
With the proliferation of computer programs to predict market direction, professional traders and sophisticated individual investors have increasingly turned to mathematical modeling to develop predictive systems. Kernel regression is a popular data modeling technique that can yield useful results fast. Provides data modeling methodology used to develop trading systems. * Shows how to design, test, and measure the significance of results John R. Wolberg (Haifa, Israel) is professor of mechanical engineering at the Haifa Institute in Israel. He does research and consulting in data modeling in the financial services area.
Author: Michel Klein
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 568
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Book Description
