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Artificial intelligence in the financial services industry
Today, the financial services sector is facing a period of rapid disruption and innovation, and artificial intelligence (AI) is at the heart of these changes. Artificial intelligence can be used to gather enormous amounts of data, detect abnormalities, and solve complex problems. Financial institutions are already experimenting extensively with AI strategies to enhance and streamline financial institutions, BSA and AML compliance, CRA requirements, fraud detection, and real estate valuations, all while reducing cost levels. This book looks at how artificial intelligence is affecting the financial services industry.
Managing Risk and Information Security : Protect to Enable
Examine the evolving enterprise security landscape and discover how to manage and survive risk. While based primarily on the author’s experience and insights at major companies where he has served as CISO and CSPO, the book also includes many examples from other well-known companies and provides guidance for a management-level audience. Managing Risk and Information Security provides thought leadership in the increasingly important area of enterprise information risk and security. It describes the changing risk environment and why a fresh approach to information security is needed. Because almost every aspect of an enterprise is now dependent on technology not only for internal operations but increasing as a part of product or service creation, the focus of IT security must shift from locking down assets to enabling the business while managing and surviving risk. This edition discusses business risk from a broader perspective, including privacy and regulatory considerations. It describes the increasing number of threats and vulnerabilities and offers strategies for developing solutions. These include discussions of how enterprises can take advantage of new and emerging technologies—such as social media and the huge proliferation of Internet-enabled devices—while minimizing risk.
Managed Software Evolution
This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” .The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process. Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage.
Knowledge Sharing in the Integrated Enterprise : Interoperability Strategies for the Enterprise Architect
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Iterating Infusion : Clearer Views of Objects, Classes, and Systems
Iterating Infusion presents comprehensive tools for you to best manage and work with object orientation. These include simplified fundamental concepts, popular language comparisons, advanced designing strategies, a broad usage progression, thorough design notations (interaction algebra), and data-oriented (fundamentally-OO) languages. The title, Iterating Infusion, alludes to the fact that any system has multiple, coexisting functional levels and that new levels—both lower and higher—are continually added to the same functional area. The practical effect is to bring processes into focus, always clarifying the vague. The extreme form of this is when separate but compatible technologies are brought together to create advancements; these can be baby-steps or great leaps, with varying amounts of effort. In more general terms, the same thing in a different context can take on much more power. And actually, this phenomenon is at the heart of object-oriented software.
Botnet Detection : Countering the Largest Security Threat
Botnet Detection: Countering the Largest Security Threat, a contributed volume by world-class leaders in this field, is based on the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets. It provides botnet detection techniques and response strategies, as well as the latest results from leading academic, industry and government researchers.
Bidding Strategies in Agent-Based Continuous Double Auctions
Presents a new bidding strategy for agents to adopt in CDAs and propose tools to enhance the performance of existing bidding strategies in CDAs. The superior performance of the new bidding strategy as well as the tools presented in this book are illustrated through extensive experiments.
Bayesian Networks and Decision Graphs
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams.It contians two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems.
AI-Enabled Threat Detection and Security Analysis for Industrial IoT
Provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications.
AI For Emerging Verticals : Human-robot computing, sensing and networking
Artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes. Explores novel concepts and cutting-edge research and developments towards designing these fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking. The chapters focus on models and theoretical approaches to guarantee automation in large multi-scale implementations of AI and ML systems; protocol designs to ensure AI systems meet key requirements for future services such as latency; and optimisation algorithms to leverage the trusted distributed and efficient complex architectures.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Advanced .NET Remoting
Surpassing any white papers, specialist documents and other documentationthis book features in-depth coverage of the .NET Remoting Framework. The text is organized into three main parts, and this revised, second edition features 150 pages of entirely new material! Part one includes a guide to the 1.1 framework and its capabilities in real-world applications. Part two presents .NET remoting internals, and provides real-world code and development strategies. Finally, part three looks at futuristic remoting tools and their present implementation in Visual Studio .NET 2005. You will come to see how remoting procedures will change within the new IDE and revised framework.
Management of complications in oral and maxillofacial surgery
Presents clear and consistent guidance on all aspects of both common and less common, minor and major complications encountered in oral and maxillofacial surgery (OMS) practice. In-depth chapters provide thorough descriptions of each complication and recommend treatment strategies for associated complications of anesthesia, implant surgery, maxillofacial trauma, and more, using easy to read algorithms.
Leadership and management in healthcare: a guide for medical and dental practitioners
A comprehensive guide to leadership in healthcare and the management of complex clinical scenarios in the medical or dental practice. Training in leadership and hospital management is not part of the curriculum and so guidance is often not provided in depth. This book outlines strategies for dealing with the management problems that arise in the healthcare profession, and it prepares the reader for interviews, examinations and the supervision of a team.
Celebrating applied sciences reaches 20,000 articles milestone: invited papers in "applied dentistry and oral sciences" section
Encompasses a wide range of disciplines, covering everything from dental materials and biomaterials to preventive and therapeutic strategies, from clinical applications to regenerative dentistry.We envision this milestone as a stepping stone toward even greater accomplishments. Through the collaboration and collective efforts of researchers worldwide, we strive to push the boundaries of dental science, explore new frontiers, and improve oral health outcomes for individuals across the globe.
Basics of dental technology : a step by step approach
A complete reference for the current techniques and materials used in dental technology. Retains the accessible, task-based approach and step-by-step guidance. Features digital dental technology and an interactive student website to support self-assessment. Explains key competencies, concepts, instruments, and equipment, and also introduces more specialist techniques and procedures, such as denture prosthetics, fixed prosthodontics and orthodontic work. Provides essential information for trainee dental technicians and students learning about dental technology, including study tips and strategies for working effectively within a dental team
Autistic people in dental and medical clinics: challenges and Solutions
Gives university students as well as established healthcare professionals an understanding of how they can assist autistic patients in clinical settings. This book providing strategies that aspiring and established healthcare professionals can use to make their clinical workplaces more accommodatingfor autistics and their familiesand present a synopsis of the literature about the challenges and experiences that autistic patients have had in dental and medical settings.
Advances in endodontics and periodontics
Aims to improve the state of the art in relation to the most relevant advances in Endodontics and Periodontics. Topics addressed in this Special Issue include alternative treatment strategies such as “green” antimicrobials, the relationship with systemic diseases, new devices and materials which enable a reduction in therapy failures, as well as updating evidence-based knowledge pertaining to endodontics and periodontics.
Advanced strategies for tooth extraction in dentistry : Beyond basics
Aims to provide comprehensive insights and techniques to dental students and practicing dentists seeking to expand their skills in tooth extraction. Building upon the foundational knowledge acquired during dental education, this book delves into the intricacies of advanced tooth extraction strategies. It covers a wide range of topics, including complex extractions, impacted teeth, surgical techniques, management of complications, and specialized cases.
Advanced Nanomaterials
Covers synthesis, characterization, and applications of diverse types of nanomaterials. Specifically, it describes carbon, graphene, and graphene oxide-based nanomaterials and their use for environmental remediation. Nanomaterials for concrete coating applications and advances in the processing of high-entropy alloys by means of mechanical alloying are also covered. Subsequently, the use of nanomaterials in endodontics and the use of nanotechnology strategies to enhance restorative resin-based dental nanomaterials are reported.
