7 results (0,17532 seconds)

Show all filters

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

Ethics of Data and Analytics Concepts and Cases

Ethics of Data and Analytics Concepts and Cases

The ethics of data and analytics in many ways is no different than any endeavor to find the right answer. When a business chooses a supplier funds a new product or hires an employee managers are making decisions with moral implications. The decisions in business like all decisions have a moral component in that people can benefit or be harmed rules are followed or broken people are treated fairly or not and rights are enabled or diminished. However data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability privacy surveillance bias and power stretch standard tools to examine whether a decision is good ethical or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First data analytics programs are value-laden in that technologies create moral consequences reinforce or undercut ethical principles and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second design is critical. In the majority of the cases examined the purpose is to improve the design and development of data analytics programs. Third data analytics artificial intelligence and machine learning are about power. The discussion of power—who has it who gets to keep it and who is marginalized—weaves throughout the chapters theories and cases. In discussing ethical frameworks the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized. | Ethics of Data and Analytics Concepts and Cases

GBP 56.99
1

Principles of Mobile Computing and Communications

Principles of Mobile Computing and Communications

Mobile computing technology has come a long way in recent years—providing anytime anywhere communication and access to information. Bringing students up to date on important technological and industry developments Principles of Mobile Computing and Communications examines mobile networks and relevant standards highlighting issues unique to the mobile computing environment and exploring the differences between conventional and mobile applications. Going beyond discussions on wireless network infrastructure and how to develop enterprise mobile applications this textbook considers pervasive computing and smart environments the complexity of designing and developing such applications and how issues are dependent on the context of the applications. Following an overview of what mobile computing has to offer and how its applications affect both our professional and personal lives it focuses on the technologies and the infrastructure of all mobile and wireless networks cellular networks WLANs WPANs and sensor and mobile ad hoc networks. The textbook then discusses the Mobile IP adaptive behavior power management resource constraints interface design seamless mobility support and locating sensing techniques and systems. It also discusses important security issues that concern all users regardless of applications employed.

GBP 56.99
1

Data Center Storage Cost-Effective Strategies Implementation and Management

Data Center Storage Cost-Effective Strategies Implementation and Management

We overspend on data center storage … yet we fall short of business requirements. It's not about the technologies. It's about the proper application of technologies to deliver storage services efficiently and affordably. It’s about meeting business requirements dependent on data center storage. Spend less deliver more. Data Center Storage: Cost-Effective Strategies Implementation and Management provides an industry insider’s insight on how to properly scope plan evaluate and implement storage technologies to maximize performance capacity reliability and power savings. It provides business and use-case focused coverage of storage technology including storage area networks (SAN) capacity-optimized drives and solid-state drives. It offers key insights on financially responsible spending for data center storage. Delivered in accessible language the book starts with a discussion of the business merits of replacing direct attached compartmentalized storage with consolidated SAN-attached storage. The author advises on the use of service level applications (SLAs) as a tool to drive business unit collaboration with IT and prioritize those actions that impact productivity and profit from those that are less critical. This business guide to applied technologies disassembles big problems into digestible segments to help you understand quantify and fix any problems that arise as you work towards meeting your growing storage needs. The book builds on the consolidation and SLA driven approach to take advantage of the compelling benefits and potential savings of managed hosting and cloud storage. | Data Center Storage Cost-Effective Strategies Implementation and Management

GBP 56.99
1

Blockchain for Information Security and Privacy

Blockchain for Information Security and Privacy

Distributed and peer-to-peer (P2P) applications are increasing daily and cyberattacks are constantly adopting new mechanisms to threaten the security and privacy of users in these Internet of Things (IoT) environments. Blockchain a decentralized cryptographic-based technology is a promising element for IoT security in manufacturing finance healthcare supply chain identity management e-governance defence education banking and trading. Blockchain has the potential to secure IoT through repetition changeless capacity and encryption. Blockchain for Information Security and Privacy provides essential knowledge of blockchain usage in the mainstream areas of security trust and privacy in decentralized domains. This book is a source of technical information regarding blockchain-oriented software and applications. It provides tools to researchers and developers in both computing and software engineering to develop solutions and automated systems that can promote security trust and privacy in cyberspace. FEATURES Applying blockchain-based secured data management in confidential cyberdefense applications Securing online voting systems using blockchain Safeguarding electronic healthcare record (EHR) management using blockchain Impacting security and privacy in digital identity management Using blockchain-based security and privacy for smart contracts By providing an overview of blockchain technology application domains in IoT (e. g. vehicle web power web cloud internet and edge computing) this book features side-by-side comparisons of modern methods toward secure and privacy-preserving blockchain technology. It also examines safety objectives efficiency limitations computational complexity and communication overhead of various applications using blockchain. This book also addresses the combination of blockchain and industrial IoT. It explores novel various-levels of information sharing systems.

GBP 99.99
1

Social Media and Crowdsourcing Application and Analytics

Social Media and Crowdsourcing Application and Analytics

Social media and crowdsourcing are important tools for solving complex problems. The benefit of crowdsourcing is that it leverages the power of human intelligence cost effectively and with less time. Social Media and Crowdsourcing: Application and Analytics examines the concepts of social media and crowdsourcing as well as their analytical aspects. It explores how these technologies contribute to the real world and examines such applications as promoting social good agriculture healthcare tourism disaster management education crime control and cultural heritage. The book also looks at ethical issues in crowdsourcing and future scenarios and challenges for policy. Highlights of the book include the following: A crowdsourcing application in agriculture Crowdsourcing outline for a contemporary aided medicinal backup system Crowdsourcing-based recommendation in the tourism industry Crowdsourcing mechanisms for reviving cultural heritage Expanding the overarching concept of utilizing social media and crowdsourcing to solve various real-life problems this book discusses how to bring together the wisdom of crowds for various decision-making problems in agriculture disaster management and healthcare. It addresses the various ethical issues arising out of various crowdsourcing-based applications. It puts forward diverse methodologies to involve crowdsourcing in education to implement new strategies to enhance learning outcomes. This book also addresses various problem-solving techniques for recommender applications in the travel and tourism industry. Providing a systematic discussion of the many sectors using crowdsourcing as an essential part of social innovation this book is a theoretical and methodological look at the application of social media. | Social Media and Crowdsourcing Application and Analytics

GBP 89.99
1

Business Strategies for the Next-Generation Network

Business Strategies for the Next-Generation Network

Carriers and service providers have united around the concept of the Next-Generation Network (NGN). Although leveraging a broad basket of Internet technologies the NGN is not being planned as the next-generation Internet. In its intention and architecture it is more accurately described as Broadband-ISDN release 2. 0. The NGN transition is hard for both practitioners and observers to understand because it weaves together a number of distinct strands: the development of a new architecture and technology base including advanced IT automation systems the development of a portfolio of ‘new wave’ products and services which exploits the power of the new network the design of a new kind of organization which can utilize the higher levels of automation in the NGN and reduce costs and the development of an effective transition plan which can smoothly move operators from their current legacy networks systems and processes to the NGN future. The book begins with a review of the failures of previous attempts by carriers to retool for the future. It describes in detail the technologies and capabilities supporting “new wave’” services focusing particularly on multimedia interactive services TV and Video-on-Demand. The author looks at the IMS layer and how it interworks both downwards into the QoS-enabled IP transport layer and upwards to enable new kinds of applications. However equal attention is addressed to the business models of players in the value chain carriers service providers broadcasters and production companies. The author then examines how carriers have attempted to remodel themselves as IP companies along the dimensions of people processes and IT automation systems describing the lessons to be learned from numerous failures. He identifies more innovativebusiness models exploresPeer-to-Peer networking and reviews the prospects for | Business Strategies for the Next-Generation Network

GBP 54.99
1

Driving Justice Equity Diversity and Inclusion

Driving Justice Equity Diversity and Inclusion

Navigating the volatility uncertainty complexity and ambiguity (VUCA) characterizing the business world in the 21st century requires a new paradigm focused on an integrated bottom line – planet people and profit (PPP). Global trends include resource scarcity and growing inequities in income wealth education and healthcare. Stakeholders are demanding that organizations address systemic barriers to promote justice and equity within organizations and across broader social systems. Transformational change requires leadership to analyze internal and external systems through a social and environmental justice lens. Despite a growing focus on justice equity diversity and inclusion the imbalance of power remains within our institutions organizations and social systems. To move the needle leaders can turn to Driving Justice Equity Diversity and Inclusion which explains developing a North Star vision and creating a strategy to redesign organizational process and systems as well as leveraging tools for data-driven decision-making. It presents a framework to build an inclusive organization as well as a model to engage and support senior and middle management beginning the process of capacity building and systemic change. By layering in AI and other technologies to support data-driven decision-making the book guides leaders in navigating their organization’s journey along the maturity continuum to achieve their North Star vision of becoming a just and equitable organization. The book also helps managers to: Assess ecosystems and organizational systems that justice equity diversity and inclusion impact Take a deeper dive into transformational and operational components to gain insights on the deep systemic realignment of the North Star vision Identify and engage with diverse stakeholders to gain perspective and understand issues crucial for transformative change Leverage people-centered design to create a process promoting diversity of voices and to better align outcomes with shared organizational vision Use data to drive decision-making and reduce bias by removing intuition from the decision-making process Leverage the book's frameworks to drive collaborative systemic change Adapt insights highlighted in multiple interviews with DEI practitioners Benefit from lessons learned and best practices featured in the book's case studies This book features a primer which is a quick reference guide to key terms concepts and definitions. It helps to define justice equity diversity inclusion and other key terms such as unconscious bias stereotypes and microaggressions. It also features a toolkit which includes checklists to help managers lead organizations to realize their own North Star vision.

GBP 44.99
1