Guide to Software Project Management
This essential textbook presents an overview of software project management in an ethical and responsible software engineering environment. The book covers the essentials of software project management, and highlights the importance of ethics and professional responsibility as part of the skill set of the modern project manager. Topics and features: Presents a solid overview of software project management Discusses professional and ethical responsibilities of project managers Presents an overview of ethical software engineering Reviews project planning and scheduling, project monitoring and control, risk management and project closure Discusses quality management of software projects Presents an overview of legal and ethical aspects of outsourcing Discusses project management for both traditional and Agile projects Reviews a selection of tools & metrics to support project management Discusses best practice (Prince 2, PMP and CMMI) to improve project management Includes key learning topics, summaries, and review questions in each chapter, together with a useful glossary This practical and easy-to-follow textbook/reference is ideal for computer science students seeking to understand software project management. The text also serves as a self-study primer for software engineers, project managers and software managers. Dr. Gerard O'Regan is an international lecturer in Maths/Computing with research interests in software quality, software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of several books with Springer, including Concise Guide to Software Engineering, Ethical and Legal Aspects of Computing, and A Brief History of Computing.
UX for AI
Learn to research, plan, design, and test the UX of AI-powered products Unlock the future of design with UX for AI--your indispensable guide to not only surviving but thriving in a world powered by artificial intelligence. Whether you're a seasoned UX designer or a budding design student, this book offers a lifeline for navigating the new normal, ensuring you stay relevant, valuable, and indispensable to your organization. In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman--a seasoned UX designer and AI strategist--delivers a battle-tested framework that helps you keep your edge, thrive in your design job, and seize the opportunities AI brings to the table. Drawing on insights from 35 real-world AI projects and acknowledging the hard truth that 85% of AI initiatives fail, this book equips you with the practical skills you need to reverse those odds. You'll gain powerful tools to research, plan, design, and test user experiences that seamlessly integrate human-AI interactions. From practical design techniques to proven user research methods, this is the essential guide for anyone determined to create AI products that not only succeed but set new standards of value and impact. Inside the book: Hands-on exercises: Build your confidence and skills with practice UX design tasks like Digital Twin and Value Matrix, which you can immediately apply to your own AI projects. Common AI patterns and best practices: Explore design strategies for LLMs (Large Language Models), search engines, copilots, and more. Proven user research strategies: Learn how to uncover user needs and behaviors in this brave new world of AI-powered design. Real-world case studies: See how simple, practical UX approaches have prevented multimillion-dollar failures and unlocked unprecedented value. Perfect for any UX designer working with AI-enabled and AI-driven products, UX for AI is also a must-read resource for designers-in-training and design students with an interest in artificial intelligence and contemporary design.
A Semantic Web Primer
A new edition of the widely used guide to the key ideas, languages, and technologies of the Semantic Web The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its uses. A Semantic Web Primer provides an introduction and guide to this continuously evolving field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for independent study by professionals, it concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials.The third edition of this widely used text has been thoroughly updated, with significant new material that reflects a rapidly developing field. Treatment of the different languages (OWL2, rules) expands the coverage of RDF and OWL, defining the data model independently of XML and including coverage of N3/Turtle and RDFa. A chapter is devoted to OWL2, the new W3C standard. This edition also features additional coverage of the query language SPARQL, the rule language RIF and the possibility of interaction between rules and ontology languages and applications. The chapter on Semantic Web applications reflects the rapid developments of the past few years. A new chapter offers ideas for term projects. Additional material, including updates on the technological trends and research directions, can be found at http: //www.semanticwebprimer.org.
Image-Based Prediction of Retinal Disease Progression
This book constitutes the proceedings from the MICCAI Challenges, Device-Independent Diabetic Macular Edema Onset Prediction, DIAMOND 2024, and Monitoring Age-Related macular degeneration progression in Optical coherence tomography, MARIO 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 15 papers included in this book from MARIO 2024 were carefully reviewed and selected from 17 submissions, whereas the 6 papers included here from DIAMOND 2024 were carefully reviewed and selected from 8 submissions. These papers focus on a wide range of state-of-the-art deep learning approaches to derive patient specific rules for Diabetic retinopathy (DR) and age-related macular degeneration (AMD) progression prediction from retinal images.
Building Micro-Frontends
What's the answer to today's increasingly complex applications? Micro-frontends. Inspired by the microservices model, this approach lets you break interfaces into separate features managed by different teams of developers. In this updated second edition, software architects, tech leads, and software developers will learn how to design, build, and deploy independent micro-frontends that compose unique frontend systems. Author Luca Mezzalira, principal serverless specialist solutions architect at AWS, shows you how micro-frontends enable agility within an organization, decentralize decision-making, and optimize for fast flow. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Pick up this book and learn how to get started with this technological breakthrough right away. You will: Understand the four pillars for creating a successful micro-frontend architecture Learn principles and best practices that will enable your teams to succeed with this architecture Examine the benefits and pitfalls of existing micro-frontend architectures Learn how micro-frontends work in conjunction with other distributed systems like microservices Discover different architectures for creating client-side and server-side micro-frontend architectures Learn automation best practices that will empower your organization to optimize for fast flow
Artificial Intelligence Based Smart and Secured Applications
Pattern Recognition. Icpr 2024 International Workshops and Challenges
The AI Con
A smart, incisive look at the technologies sold as artificial intelligence, the drawbacks and pitfalls of technology sold under this banner, and why it's crucial to recognize the many ways in which AI hype covers for a small set of power-hungry actors at work and in the world. Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything?The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is "no," "they wish," "LOL," and "definitely not." This kind of thinking is a symptom of a phenomenon known as "AI hype." Hype looks and smells fishy: It twists words and helps the rich get richer by justifying data theft, motivating surveillance capitalism, and devaluing human creativity in order to replace meaningful work with jobs that treat people like machines. In The AI Con, Bender and Hanna offer a sharp, witty, and wide-ranging take-down of AI hype across its many forms.Bender and Hanna show you how to spot AI hype, how to deconstruct it, and how to expose the power grabs it aims to hide. Armed with these tools, you will be prepared to push back against AI hype at work, as a consumer in the marketplace, as a skeptical newsreader, and as a citizen holding policymakers to account. Together, Bender and Hanna expose AI hype for what it is: a mask for Big Tech's drive for profit, with little concern for who it affects.
Digital Capitalism and Its Limits
The Fourth Industrial Revolution (4IR) has been described as the next big leap in digital capitalism. Digital technologies such as artificial intelligence, quantum computing, 3D printing and robotisation, we are led to believe, will bring more progress, growth and development while also helping us to resolve the deep and multiple crises the world is in. Billions are being invested in these technologies, accompanied by sharp geopolitical rivalries to secure an edge in the control over them. Volume 8 in the Democratic Marxism series invites readers to think more deeply and critically about digital capitalism and its limits. While most governments in the world, including South Africa, have accepted a techno-nationalist narrative and have deliberated on the risks for the planet and humanity, the volume interrogates the effects and consequences of advances in artificial intelligence and heightened technological innovation and industrialisation on employment, democracy and the climate. Viewing the grand social engineering of 4IR through a Marxist lens, the volume contributors engage critically with the class project of digital monopoly capitalism and its powerful totalitarian tendencies. They question the dangerous technotopian imaginary shaping this digital techno-shift, the implications of algorithmic data extractivism, the securitisation of already weak market democracies, the social consequences of digital learning, lack of regulation, and the power dynamics in the labour process. Anchored in techno-realism, the interdisciplinary perspective captured in this volume puts forward alternatives for democratisation and a just transition to protect human and non-human life.
Artificial Intelligence Based Smart and Secured Applications
Artificial Intelligence Based Smart and Secured Applications
Artificial Intelligence Based Smart and Secured Applications
Crime-Related Events Identification Based on Text Analytics Approach
As modern society is extremely dependent on the Internet, social net-works and developing technologies, a threat to the security of both the individual and society as a whole has emerged. The openness and global nature of the Internet create opportunities both for criminals, who can use the available information for criminal purposes, and for law enforcement officials. Police officers, in turn, can deal with the preventive processing of data from the Internet in order to prevent crimes. This type of data analysis can detect illegal or criminal actions even at the stage of their formation. Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources, so that crime can be combatted. The book is aimed at police officers and IT-professionals working in online investigations.
AIoT
AIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.With a wide-ranging scope, the book covers various aspects of AIoT from fundamental concepts to advanced applications. It begins with an introduction to AI, IoT, and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include: Edge computing and AIoT Privacy and security in AIoT AIoT applications in such domains as healthcare, finance, and manufacturing. Smart cities and AIoT AIoT and wearables Ethical considerations concerning AIoT AIoT and augmented reality and virtual reality AIoT and blockchain AIoT and 5G technology. The book presents such AIoT architectures as cloud-based, edge-based, and hybrid systems and discusses their advantages and challenges. Exploring the role of big data analytics in AIoT, it highlights how large-scale data collection and analysis can drive intelligent decision-making and predictive insights. It delves into such AI techniques employed in AIoT systems as natural language processing, computer vision, deep learning, and reinforcement learning.The book concludes with a discussion of emerging trends and future directions in AIoT that includes the integration of blockchain technology, edge computing, and swarm intelligence. It also discusses the societal implications of AIoT and its effect on the job market, privacy, and ethics.
Artificial Intelligence Based Smart and Secured Applications
Planning and Control Using Oracle Primavera P6 Versions 18 to 24 PPM Professional
Moral AI
A balanced and thought-provoking guide to all the big questions about AI and ethics Can computers understand morality? Can they respect privacy? And what can we do to make AI safe and fair? The artificial intelligence revolution has begun. Today, there are self-driving cars on our streets, autonomous weapons in our armies, robot surgeons in our hospitals - and AI's presence in our lives will only increase. Some see this as the dawn of a new era in innovation and ease; others are alarmed by its destructive potential. But one thing is clear: this is a technology like no other, one that raises profound questions about the very definitions of human intelligence and morality. In Moral AI, world-renowned researchers in moral psychology, philosophy, and artificial intelligence - Jana Schaich Borg, Walter Sinnott-Armstrong and Vincent Conitzer - tackle these thorny issues head-on. Writing lucidly and calmly, they lay out the recent advances in this still nascent field, peeling away the exaggeration and misleading arguments. Instead, they offer clear examinations of the moral concerns at the heart of AI programs, from racial equity to personal privacy, fake news to autonomous weaponry. Ultimately, they argue that artificial intelligence can be built and used safely and ethically, but that its potential cannot be achieved without careful reflection on the values we wish to imbue it with. This is an essential primer for any thinking person.
