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Seadle Michael: Information Science

Information Science

History, Ideas, Applications

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.

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

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.

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

"In this book, Meredith Martin presents a historical account of prosodic criticism and, through the example of her own research path, argues for new scholarly practices in literary studies and the humanities more broadly. Challenging the common scholarly practice of emphasizing one critical narrative, one pathway through history or one author's reading, the book traces three arcs: the effects of the major shift in the late twentieth century from print-based to digital resources in scholarship with the emergence of the World Wide Web; Martin's experience as a scholar who coordinated a digital project about the history of the study of poetry, which led to the creation of the Princeton Prosody Archive and the founding of Princeton's Center for Digital Humanities (CDH); and the mix of computational and aesthetic elements in the study of prosody, including the study of versification and meter, in the broader context of English literary study as a discipline. Across these three arcs, Martin argues that scholars must take seriously the idea of digital media as mediation, through which textual forms are transformed into data and delivered to us via data structures, and that our reading of historical texts in digital forms must reckon with these mediations. She also demonstrates the connection between the intellectual labor of studying prosody-or any historical object-and the intellectual labor of fostering a collaborative research process. "This is a book," she writes, "about the shifting grounds of knowledge production in the digital age, and how we might situate ourselves amid these shifts by returning to, of all things, poetry.""--

Why literary studies must confront digital mediation We live and research in a technologically mediated landscape in which old models of reading and researching—methods that presume an autonomous, single scholar gathering resources and making claims—no longer hold. Scholars have yet to theorize either the embeddedness of their sources inside multiple layers of mediation or their own place in an information ecosystem that demands our active participation. In Poetry’s Data, Meredith Martin explores what current access to data might mean for mapping the discourse of poems. Martin’s account of her work learning about digital humanities so that she could build a database of historic prosodic materials becomes a through line in a narrative that chronicles how literature has understood poetry’s data—its sounds—from the sixteenth century to the present day. Digital knowledge infrastructures have historical antecedents that scholars have been trained to theorize. And yet, as Martin points out, we have not been trained to identify and navigate, let alone critique, the current landscape of knowledge production. Through five chapters and five examples from the Princeton Prosody Archive, Martin shows that the histories of mediation and format are essential to the teaching of poetry and poetic form.

Digital Humanities and the History of Prosody

Poetry's Data

The book is essential reading for CISOs, DPOs, CPOs, Sourcing Managers, Vendor Risk Managers, Chief Procurement Officers, Cyber Risk Managers, Compliance Managers, and other cyber stakeholders, as well as students in cyber security.

Cybersecurity is typically viewed as the boogeyman, and vendors are responsible for 63% of reported data breaches in organisations. And as businesses grow, they will use more and more third parties to provide specialty services. Typical cybersecurity training programs focus on phishing awareness and email hygiene. This is not enough. Navigating Supply Chain Cyber Risk: A Comprehensive Guide to Managing Third Party Cyber Risk helps companies establish cyber vendor risk management programs and understand cybersecurity in its true context from a business perspective.The concept of cybersecurity until recently has revolved around protecting the perimeter. Today we know that the concept of the perimeter is dead. The corporate perimeter in cyber terms is no longer limited to the enterprise alone, but extends to its business partners, associates and third parties that connect to its IT systems. This book, written by leaders and cyber risk experts in business, is based on three years of research with the Fortune 1000 and cyber insurance industry carriers, reinsurers, and brokers and the collective wisdom and experience of the authors in Third Party Risk Management, and serves as a ready reference for developing policies, procedures, guidelines, and addressing evolving compliance requirements related to vendor cyber risk management. It is unique since it provides strategies and learnings that have shown to lower risk and demystify cyber risk when dealing with third and fourth parties.The book is essential reading for CISOs, DPOs, CPOs, Sourcing Managers, Vendor Risk Managers, Chief Procurement Officers, Cyber Risk Managers, Compliance Managers, and other cyber stakeholders, as well as students in cyber security.

A Comprehensive Guide to Managing Third Party Cyber Risk

Navigating Supply Chain Cyber Risk

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying an overall summary of current research results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability analysis. Presenting practical methods and tools, it describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems.

Fluctuation Mechanism and Control on System Instantaneous Availability facilitates the development of modeling and identification skills for both theoretical research and applications. Supplying a systematic introduction to the basic results in fluctuation analysis of instantaneous availability, it covers the theory, methodology, and specific engineering implementation required to conduct equipment instantaneous availability research. Presenting practical methods and tools, the book describes how to control the matching transition of new equipment systems as a result of interactions among sub-systems. It will help readers further extend their research on steady-state availability analysis to the optimization and control over instantaneous availability that is more suitable for engineering practices. The book provides the in-depth research on system instantaneous availability models, solutions, methodology, and frameworks required to investigate system instantaneous availability fluctuations within a certain range. Its chapters are divided into "Basic" and "Applied" components. The Basic chapters introduce the relevant concepts about system availability, the general continuous availability model approximate solution algorithms and problems, the discrete-time systems instantaneous availability model under general probability distribution, and the system instantaneous availability model and stability proof constraint by limited time, respectively. The Applied chapters focus on system instantaneous availability fluctuation analysis and control methods, discrete-time instantaneous availability model comparison and analysis under exponential distribution, system instantaneous availability fluctuations analysis under truncated discrete Weibull distribution, and system instantaneous availability fluctuations optimal design under truncated discrete Weibull distribution. Presenting the material in an accessible manner, the book summarizes current research results and engineering practices. It includes many examples that illustrate the roles of the new modeling methods for instantaneous availability. It also supplies Matlab® code for all the calculations performed in the book.

Fluctuation Mechanism and Control on System Instantaneous Availability

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

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

An Ecological Approach to Information Behavior

Human Information Interaction

Information use is changing rapidly in the digital age, leading to complex intellectual property and ownership issues. Exploring the ethical implications of this new environment, specifically as they relate to information professionals, this book offers guidance on making ethical choices.

Ethics, Information, and Technology

History and Foundations of Information Science

Toward a Science of Technology-Mediated Experience

Search Foundations

Das Buch gibt einen prägnanten Einblick in die vereinsamenden Mechanismen der modernen Welt, die in Zukunft nur noch vielfältiger und schwerer werden, man denke nur an die wachsenden Krisen- und Katastrophenpotentiale, sich allmählich auflösende gesellschaftliche Rollen und&nbsp;Identitäten, grassierende Verschwörungsideologien sowie den wachsenden Einfluss künstlicher Intelligenz und der Robotik. Nur wenn der moderne Mensch immer wieder aufs Neue lernt, die nachwachsenden Einsamkeiten auszuhalten, kann die Modernisierung voranschreiten. Das Buch unterbreitet Vorschläge, wie es gelingen kann, die Moderne davor zu bewahren, an ihren Einsamkeiten zu zerbrechen. Der AutorDr. Denis Newiak ist&nbsp; Medien-, Film- und Fernsehwissenschaftler und lehrt an diversen Hochschulen Medien- und Kommunikationstheorie; er hat an der&nbsp;Brandenburgischen Technischen Universität Cottbus-Senftenberg&nbsp;promoviert.

Das Buch gibt einen prägnanten Einblick in die vereinsamenden Mechanismen der modernen Welt, die in Zukunft nur noch vielfältiger und schwerer werden, man denke nur an die wachsenden Krisen- und Katastrophenpotentiale, sich allmählich auflösende gesellschaftliche Rollen und&nbsp;Identitäten, grassierende Verschwörungsideologien sowie den wachsenden Einfluss künstlicher Intelligenz und der Robotik. Nur wenn der moderne Mensch immer wieder aufs Neue lernt, die nachwachsenden Einsamkeiten auszuhalten, kann die Modernisierung voranschreiten. Das Buch unterbreitet Vorschläge, wie es gelingen kann, die Moderne davor zu bewahren, an ihren Einsamkeiten zu zerbrechen.

Warum es Gemeinschaften heute schwer haben – und was wir dagegen tun können

Moderne Einsamkeit

Your data is your business. Is it supporting your strategy?Algorithms, machine learning, generatiData is your business. Have you unlocked its full potential?If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world.This book will inspire you to: <ul><li>Reap the rewards of digital transformation</li><li>Make better data-driven decisions</li><li>Design breakout products that generate profitable insights</li><li>Address vulnerabilities to cyberattacks and data breaches</li><li>Reskill your workforce and build a culture of continuous learning</li><li>Win with personalized customer experiences at scale</li></ul>This collection of articles includes "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Democratizing Transformation," by Marco Iansiti and Satya Nadella; "Why Companies Should Consolidate Tech Roles in the C-Suite," by Thomas H. Davenport, John Spens, and Saurabh Gupta; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "What Does It Actually Take to Build a Data-Driven Culture?," by Mai B. AlOwaish and Thomas C. Redman; "When Data Creates Competitive Advantage," by Andrei Hagiu and Julian Wright; "Building an Insights Engine," by Frank van den Driest, Stan Sthanunathan, and Keith Weed; "Personalization Done Right," by Mark Abraham and David C. Edelman; "Ensure High-Quality Data Powers Your AI," by Thomas C. Redman; "The Ethics of Managing People's Data," by Michael Segalla and Dominique Rouzies; "Where Data-Driven Decision-Making Can Go Wrong," by Michael Luca and Amy C. Edmondson; "Sizing Up Your Cyberrisks," by Thomas J. Parenty and Jack J. Domet; "A Better Way to Put Your Data to Work," Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish; and "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman.HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.ve AI. With the latest advancements in technology, data is taking center stage in organizations. But without a clear plan for how you're storing, integrating, and gaining value from that information, your company will be at risk--and fall behind.If you read nothing else on setting a data strategy in your organization, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you improve your analytic and algorithmic capabilities, navigate digital transformation, and achieve competitive advantage in our hyperconnected world.This book will inspire you to: <ul><li>Quantify the benefits of a digital transformation</li><li>Discover opportunities for innovative, data-backed products and services</li><li>Better understand and improve your customer experience</li><li>Break down silos and share higher-quality information across your organization</li><li>Identify areas susceptible to cyberattacks and data breaches</li><li>Ensure metrics aren't overshadowing strategic objectives</li></ul>HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever‐changing business environment.

HBR's 10 Must Reads on Data Strategy

Information Science

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