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Author: Archie Addo
Publisher: Business Expert Press
ISBN: 1951527496
Category : Business & Economics
Languages : en
Pages : 97
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Book Description
Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.
Author: Archie Addo
Publisher: Business Expert Press
ISBN: 1951527496
Category : Business & Economics
Languages : en
Pages : 97
Get Book Here
Book Description
Artificial Intelligence (AI) Design and Solutions for Risk and Security targets readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures. Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also explained in detail. The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
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.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309494508
Category : Computers
Languages : en
Pages : 99
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Book Description
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
Author: Beena Ammanath
Publisher: John Wiley & Sons
ISBN: 1119867959
Category : Computers
Languages : en
Pages : 230
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Book Description
An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1799877485
Category : Computers
Languages : en
Pages : 2253
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Book Description
As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.
Author: Peter Hlavnicka
Publisher: Business Expert Press
ISBN: 1637421524
Category : Business & Economics
Languages : en
Pages : 254
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Book Description
Protecting the Brand, Volume I: Counterfeiting and Grey Markets is a handbook for law practitioners as well as business executives. It is a unique perspective of best practices in addressing issues around counterfeiting and grey markets - from a legal as well as a business point of view. The authors explore the threats posed by counterfeiting and grey markets to a variety of industries and illuminate what problems these may cause. Before setting forth the range of legal strategies for remedying incidents of counterfeiting and grey markets, the authors outline preventive measures businesses can take to combat the threats, and showcase some of the emerging technologies that can serve as enablers of Brand Protection’s 3 IPR’s (3 I’s= Intelligence, Investigation, Innovation; 3 P’s= Protection, Perseverance, Perpetuation; 3 R’s= Remedy, Recovery, Rehabilitation).
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
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
Author: Clarence Chio
Publisher: "O'Reilly Media, Inc."
ISBN: 1491979879
Category : Computers
Languages : en
Pages : 385
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Book Description
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
Author: K.F. Dochartaigh
Publisher: Business Expert Press
ISBN: 1952538858
Category : Business & Economics
Languages : en
Pages : 325
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Book Description
Using his experiences of life in the corporate jungle, K.F. Dochartaigh has produced a survival manual that assists and guides the reader on how best to navigate corporate pitfalls and avoid being ‘trapped’. The book fuses three separate but intertwined disciplines of the animal kingdom, the guerrilla battlefield, and the corporate world to help establish patterns of behavior and to understand the motivations that drive each action. All three areas share a common environment: the jungle, where visibility is limited, and ambush is the only method of attack by predators. The book blends animal and human psychology and provides safe passage in all its encounters. This book does not condone war—in fact, quite the opposite—and, as you will see, it takes more of a defensive position in repelling attacks and seeks to promote the occurrence of collaboration over individual competition, which will also become apparent. It is not a “call to arms” or a promotion of anarchy—not by any stretch of the imagination—as it merely assists the individual in adapting within their environment in order to ensure their survival. Whether you work as an accountant, IT consultant, lawyer, salesperson, or project manager, the same logic still applies because there is a natural order in all corporate vocations.
Author: David M. Shapiro
Publisher: Business Expert Press
ISBN: 1953349854
Category : Business & Economics
Languages : en
Pages : 231
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Book Description
Organized crimes (e.g., weapons trafficking, drug distribution, white collar crime) persist globally due primarily to the power of modern information and communication technology (e.g., computer-based networks in the open and dark webs) to facilitate organization and the enhanced liquidity provided by electronic transfers (in effect, e-capital) to distribute criminal proceeds in the same covert and high-speed manner used by the so-called legitimate commercial enterprises. Offshore banking in tax secrecy and tax haven jurisdictions facilitates both the socially accepted process commonly known as tax avoidance, for example, and the notorious practice commonly known as tax evasion: the former is lawful; the latter is illicit. The dirty secret of how transnational organized economic crime persists lies in global finance, especially transactions using the U.S. dollar in safe havens (e.g., the West uses the Cayman Islands; the East uses Cyprus). Regulators, monitors, auditors, and other specialists in conducting transaction review do not readily and timely tell the difference between high valued transfers that involve true sales of licit goods from high valued transfers that involve the laundering of proceeds from human trafficking, drug distribution, arms sales, and so on.
