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Seadle Michael: Information Science

Information Science

History, Ideas, Applications

This book equips readers with essential knowledge and skills in digital product management and covers key topics including understanding digital transformation, identifying market dynamics, and developing a comprehensive product strategy. A useful guide for product managers, entrepreneurs, and business leaders.

Strategic Planning and Market Opportunity

Digital Product Management

Quantum Communication and Cryptography introduces readers to the theory of quantum cryptography, with a focus will on quantum key distribution (QKD) and more advanced quantum cryptographic protocols beyond QKD. It contains a brief introduction to the field of modern cryptography that is needed to fully appreciate and understand how quantum cryptographic systems are proven secure, and how they can be safely used in combination with current day classical systems. Readers are then introduced to quantum key distribution (QKD) - perhaps the most celebrated, and currently the most practical, of quantum cryptographic techniques. Basic protocols are described, and security proofs are given, providing readers with the knowledge needed to understand how QKD protocols are proven secure using modern, state- of-the-art definitions of security. Following this, more advanced QKD protocols are discussed, along with alternative quantum and classical methods to improve QKD performance. Finally, alternative quantum cryptographic protocols are covered, along with a discussion on some of the practical considerations of quantum secure communication technology. Throughout, protocols are described in a clear and consistent manner that still provides comprehensive, theoretical proofs and methods.

Quantum Communication and Cryptography

Unlock the full potential of generative AI for your business-an indispensable read for every modern leader looking to integrate generative AI in their organization In Generative AI: The Essential Guide for Business Leaders, celebrated AI researcher, strategist and industry executive Matthew D. White delivers an up-to-date and insightful new perspective of how business leaders should integrate generative AI into their own organizations. In the book, you'll learn about the basics of generative algorithms, explore the opportunities and risks presented by the new technology made famous by OpenAI's powerful ChatGPT - and learn how to improve your organization's products, services, operations, and strategies while limiting bias and harms. The author describes a complete framework for the adoption of generative AI inside your organization, as well as specific strategies to avoid the most common mistakes and pitfalls made by companies as they navigate these largely uncharted waters. You'll also find: <ul> <li>Demystifying Generative AI: Comprehensive, jargon-free explanations to help you understand the core concepts of generative AI</li> <li>Real-world Applications: Applications and methods you can apply to your own company's products and services to harness the potential of generative AI</li> <li>Strategic Insights: Planning considerations that will prove crucial to the success or failure of your new generative AI adoption strategy</li> <li>Adoption Frameworks: Concrete, step-by-step methodologies for streamlining your processes, increasing productivity, creating new and exciting products, and improving your bottom-line</li> <li>Risk Assessment: Practical advice on evaluating the ethical and operational risks of generative AI and how to mitigate them</li> <li>The Future: Insightful view of what is to come in the field of generative AI along with a discussion on the most pressing social, economic and legal issues</li></ul> An exciting road map to the commercial potential of generative AI for managers, directors, executives, and other business leaders, Generative AI will also be a hit with policymakers, regulators, compliance specialists, and technical professionals interested in the future of commerce and tech.

The Essential Guide for Business Leaders

Generative AI for Business

Ethics, Information, and Technology

Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. The book covers a range of topics, including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. Users will find a clear and accessible resource to enhance their skills in mathematical modeling and data analysis for big data analytics. Real-world examples and case studies demonstrate how to approach and solve complex data analysis problems using mathematical modeling techniques. This book will help readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. Coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques make this a must have resource.

Mathematical Modeling for Big Data Analytics

This book enables security professionals to build a cybersecurity program from the ground up, regardless of the size of their organization. The book includes a high-level, comprehensive overview of all of the capabilities that go into a cybersecurity program (e.g., threat management, incident management, vulnerability management) and helps readers to determine which capabilities must be matured first and to what maturity level based on the risks that their organization faces. The book addresses methods for performing rapid risk assessments at early stages of cybersecurity program development. It also discusses key capabilities that should form the foundation to any cybersecurity program.

Building a Cybersecurity Program

Routledge Studies in Trust Research

This book presents and discusses the main issues and challenges posed by communication, leadership, and trust.

Communication, Leadership and Trust in Organizations

Archiving Websites

Despite DRL, there are still domain-specific challenges in complex wireless network virtualization requiring further study covered in this book; DNN architectures design with 5G network optimization, developing intelligent mechanism for automated management of virtual communications in SDNs, etc

Heterogenous Computational Intelligence in Internet of Things

An Ecological Approach to Information Behavior

Human Information Interaction

Chapman & Hall/CRC Studies in Informatics Series

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Along with the relevant theory, each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book's website and a solutions manual is available for qualifying instructors.

Automation of Logic

Asia Pacific Modern

Libraries and the Colonial Public in Vietnam

Bibliotactics

Information Science

Informations bibliographiques

Mots-clés

Informations bibliographiques

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