Data og IT

With 30% new content and never-before-seen images, Michael Freeman brings his ground-breaking book, The Photographer's Eye, up to date with a fresh look and the latest developments in digital photography.

The Fourth Industrial Revolution while creating many new opportunities, is inevitably going to lead to uncertainty around specific jobs. To understand which jobs will be uncertain as society moves towards the Fourth Industrial Revolution, Johannessen adopts three time-perspectives.

This volume contains an Open Access Chapter. Offering a comprehensive and research-oriented survey of the complexities of VR gaming, emphasising immersion, embodiment, and player presence.

Generative AI and Finance: Unleashing Potential of Large Language Models, Frameworks, Interfaces, and Industry Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management.

Clear and concise guide to MBPLE, with industrial case studies Written in a to-the-point style, Model-Based Product Line Engineering (MBPLE) is the only theoretical and practical foundational book on MBPLE that brings together the topics of model-based systems engineering (MBSE) and feature-based product line engineering (PLE). It examines how PLE can benefit from a model-based and model-centric approach and, in turn, how MBSE combined with holistic PLE can boost model reuse and improve the MBSE business case. The book combines both management and engineering aspects to deliver comprehensive coverage of the subject. The book covers real-life challenges and implementations of MBPLE, discussing adoption obstacles faced by engineering organizations and how to overcome them to ensure a successful MBPLE deployment. Dozens of SysML v2 views, SysML v1 diagrams, SysML v2 code snippets and illustrations are included throughout to elucidate key concepts. Additional supplementary learning materials are available on a companion website. Written by a team of expert authors and contributors with significant experience in the field of applied MBPLE, Model-Based Product Line Engineering (MBPLE) discusses sample topics including: Motivation for MBPLE, covering document-based to model-based engineering, project-oriented to product-line-oriented engineering, and digital continuity and system lifecycle management Foundations of MBPLE, covering basic definitions, the history of MBPLE, recent MBPLE works and standards, and the impact of MBPLE on engineering processes Implementation of MBPLE using the next generation modeling language SysML v2 Adoption of MBPLE, covering investment interests, company processes, change management and digital transformation, and methods, guidelines, coaching Model-Based Product Line Engineering (MBPLE) delivers vision, benefits, and strategic guidance for managers, executives, and business leaders while serving as a practical guide for system engineers who are new to the MBPLE discipline or already familiar with it.

This book focuses on the current developments in the metaverse, investigates its applications in the life sciences and healthcare industry based on metaverse powered human-computer interactions, analyses early adoption use cases that provide measurable commercial benefits, and anticipates future prospects in this rapidly evolving domain.

This book looks at the integration of blockchain technology in healthcare settings, focusing on its potential to address security and privacy concerns of medical applications. A useful guide for healthcare professionals, patients, policymakers, and those interested in the intersection of technology and healthcare.

This book looks at the integration of blockchain technology in healthcare settings, focusing on its potential to address security and privacy concerns of medical applications. A useful guide for healthcare professionals, patients, policymakers, and those interested in the intersection of technology and healthcare.

This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests, variable importance, and causal inference.

The text provides an understanding of ethical concerns regarding the use of artificial intelligence in diverse industries such as communication, healthcare, agriculture, and business. It discusses concepts such as geographic information system generation, intrusion detection systems, and artificial intelligence tools for cybersecurity.

Intelligent Manufacturing delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes.