Kirjahaku

Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI, processing information offered by biometric technology, achieve better results. This has led to growth in the biometrics technology industry, and is set to increase the security and internal control operations manifold. This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations, especially when dealing with digital-based media.

Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI, processing information offered by biometric technology, achieve better results. This has led to growth in the biometrics technology industry, and is set to increase the security and internal control operations manifold. This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations, especially when dealing with digital-based media.

E-commerce enables business integration together with a company's personnel, alliances, suppliers, customers, or a community. It provides processes and frameworks to actively seek and promote interactive decision making and transactions enablement. Since the Internet extends across the globe, it is possible to do business with any organisation or person who is connected to the Internet. Even small businesses such as specialist record stores are able to market and sell their offerings internationally using e-commerce. Moreover, E-commerce allows buyers and sellers to conduct business around the clock. Thus, using aspects of e-commerce tools can provide organisations with the advantages of sourcing and using products and services provided by other businesses in other countries.

This book proposes a Throughput Model that draws from computer science, economic and psychology literatures to model perceptual and judgmental processes whereby biometrics might be used to reduce risks to a company’s internal control. The book also discusses challenges in employing biometric technology and pinpoints avenues for future research. Biometrics is the examination of measurable biological characteristics. In organizational security, biometrics refers to tools that rely on measurable physical and behavioral characteristics that can be automatically checked.The Throughput Modeling process enables organizations to employ trust systems in assisting transactions that are motivated by ethical considerations. Auditing systems are by far based on trust. Concepts of ethics and trust are aided by the employment of biometrics technology, which enhances the transactions between individuals and organizations in an internal control environment. Issues pertaining to sustainability are also examined with the assistance of the Throughput Model.Finally, this book examines the potential use of an internal control biometrics system to lessen threats to identification and verification procedures. This book proposes an “Throughput Model framework” that considers both exposure and information risks as fundamental factors in classifying applications and organizational processes that might be candidates for the type of internal control biometrics system that biometrics can offer.

This book proposes a Throughput Model that draws from computer science, economic and psychology literatures to model perceptual and judgmental processes whereby biometrics might be used to reduce risks to a company’s internal control. The book also discusses challenges in employing biometric technology and pinpoints avenues for future research. Biometrics is the examination of measurable biological characteristics. In organizational security, biometrics refers to tools that rely on measurable physical and behavioral characteristics that can be automatically checked.The Throughput Modeling process enables organizations to employ trust systems in assisting transactions that are motivated by ethical considerations. Auditing systems are by far based on trust. Concepts of ethics and trust are aided by the employment of biometrics technology, which enhances the transactions between individuals and organizations in an internal control environment. Issues pertaining to sustainability are also examined with the assistance of the Throughput Model.Finally, this book examines the potential use of an internal control biometrics system to lessen threats to identification and verification procedures. This book proposes an “Throughput Model framework” that considers both exposure and information risks as fundamental factors in classifying applications and organizational processes that might be candidates for the type of internal control biometrics system that biometrics can offer.

This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway. As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations. Key Features: - Covers general concepts of Artificial intelligence and machine learning - Explains the importance of dominant AI algorithms for business and AI research - Provides information about 6 unique algorithmic pathways in the Throughput Model - Provides information to create a roadmap towards building architectures that combine the strengths of the symbolic approaches for analyzing big data - Explains how to understand the functions of an AI algorithm to solve problems and make good decisions - informs managers who are interested in employing ethical and trustworthiness features in systems. Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model is an informative reference for all professionals and scholars who are working on AI projects to solve a range of business and technical problems.