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Handbook of Geospatial Artificial
Intelligence

Handbook of Geospatial Artificial Intelligence

Section 1: Historical Roots of GeoAI 1. Introduction to Geospatial Artificial Intelligence (GeoAI) 2. GeoAI's Thousands Years of History 3. Philosophical Foundations of GeoAI Section 2: GeoAI Methods 4. GeoAI Methodological Foundations: Deep Neural Networks and Knowledge Graphs 5. GeoAI for Spatial Image Processing 6. Spatial Representation Learning in GeoAI 7. Intelligent Spatial Prediction and Interpolation Methods 8. Heterogeneity-Aware Deep Learning in Space: Performance and Fairness 9. Explainability in GeoAI 10. Spatial Cross-Validation for GeoAI Section 3: GeoAI Applications 11. GeoAI for the Digitization of Historical Maps 12. Spatiotemporal AI for Transportation 13. GeoAI for Humanitarian Assistance 14. GeoAI for Disaster Response 15. GeoAI for Public Health 16. GeoAI for Agriculture 17. GeoAI for Urban Sensing Section 4: Perspectives for the Future of GeoAI 18. Reproducibility and Replicability in GeoAI 19. Privacy and Ethics in GeoAI 20. A Humanistic Future of GeoAI 21. (Geographic) Knowledge Graphs and Their Applications 22. Forward Thinking on GeoAI

A Spatial New World

Mastering Business Analytics

Data Analytics for Strategic Decisions explores how businesses can harness the power of data, technology, and analytics to make strategic decisions that drive growth and innovation. It provides a comprehensive guide to integrating business strategy with data-driven methodologies, offering practical tools and insights for modern organizations.Readers will gain a deep understanding of how to transform data into actionable insights, improving decision-making across marketing, finance, operations, and strategy. The book combines theoretical foundations with real-world applications, including case studies, datasets, and practical exercises. It also addresses emerging topics like AI, predictive analytics, and data governance, ensuring readers are equipped with cutting-edge knowledge and skills.This book is designed for undergraduate and master's students in Business Administration, Business Analytics, and Digital Transformation, as well as professionals seeking to enhance their data-driven decision-making capabilities. It is ideal for courses in Business Analytics, Data Analytics for Business, Business Intelligence, and Digital Transformation.The book includes supplementary materials such as datasets for practical exercises, case studies, and discussion questions, making it suitable for both classroom and online learning environments.

Fundamentals of Business Technology and AI Integration

Data Analytics for Strategic Decisions

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

<div><div>Das erste Lexikon im Fintech-Bereich stellt mit über 800 Stichworten einschlägiges Know-how zur "Financial Technology" bereit und hilft damit bei der Klärung aktueller Begrifflichkeiten. Dem interdisziplinären Charakter der Fintech-Entwicklung zufolge sind die Begriffe an der Schnittstelle von (Wirtschafts-)Informatik, Finanzwissenschaft und Innovationsmanagement verortet. Die Fintech-Terminologie richtet sich dabei mit ihren konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende sowie Interessierte aus Wissenschaft und Praxis.</div><div> </div><div>Die Autoren</div><div>Prof. Dr. Rainer Alt ist Professor für Wirtschaftsinformatik an der Universität Leipzig und Autor zahlreicher Publikationen im Fintech-Bereich.&nbsp;</div><div>Dr. Stefan Huch ist Senior Director bei Capgemini Invent und vertritt die Professur Digitalisierung von Unternehmensprozessen an der Hochschule Merseburg.</div><div> </div><div>Würdigungen</div><div>"Aus meiner Sicht als Führungskraft einer global agierenden Bank ist das Fintech-Lexikon ein sehr gelungenes Nachschlagewerk, das alle relevanten Begrifflichkeiten in einer sehr verständlichen Art strukturiert darstellt und erläutert- eine gute Stütze, um in der Praxis die relevanten Begrifflichkeiten der Fintech-Szene im Überblick zu haben." Achim Lebeau, COO, DB Privat- und Firmenkunden AG</div><div>"Selbst gründen bedeutet in vielen Bereichen ins kalte Wasser geworfen zu werden. Man muss in kürzester Zeit zum Allround-Experten werden: im Sales, im Marketing, im Finance oder im Fundraising. Hier eine strukturierte Übersicht aller Begrifflichkeiten der Startup-Welt an der Hand zu haben, ist eine enorme Hilfe." Jenny Saft, Geschäftsführung und Co-Founderin, Oviavo GmbH</div><div>"Dieses Fintech-Lexikon bietet einen hervorragenden Orientierungsrahmen, indem es alle relevanten Begrifflichkeiten im Kontext der digitalisierten Finanzwelt aufgreift. Diese sind konsequent strukturiert und inverständlichen Worten definiert. Ein wertvoller Beitrag für die Praxis." Thomas Zerndt, CEO, Business Engineering Institute St. Gallen AG</div>
</div>

Dieses Buch hilft dem Leser im Umfeld der Digitalisierung bei der Begriffsklärung und stellt einschlägiges Know-how zur Verfügung.&nbsp;Was bedeutet 42? Was ist eine Subchain? Was ist der Unterschied zwischen Robotics und Artificial Intelligence? Der Schwerpunkt liegt dabei auf den Entwicklungen, die seit 2010 mit der Digitalisierung unter dem Namen "Financial Technology" eine zunehmende Verbreitung erlebt haben. Die Begrifflichkeiten umfassen grundlegende Begriffe, die Eingang in die allgemeine Sprache gefunden haben, wie etwa Artificial Intelligence oder Blockchain, aber auch fachspezifische Termini, die für das Verständnis der einzelnen Technologien notwendig sind (zum Beispiel 42, Nonce). Die Fintech-Terminologie bietet dem Leser einen konzisen und gleichzeitig anschaulich dargestellten alphabetisch geordneten Überblick mit den darin enthaltenen praxisorientierten Antworten.

Begriffe für die digitalisierte Finanzwelt

Fintech-Lexikon

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Qizhen Humanities and Social Sciences Library

This seminal work establishes the digital rule of law as the fundamental trajectory for social governance and legal transformation in the digital era. Guided by the vision of "empowering the rule of law through digital technologies while anchoring digital development within legal frameworks," the Digital Law Research Team at Zhejiang University presents pioneering research in this book.

Practice and Reform

Digital Rule of Law

This book is a must-read for any aspiring IP lawyer... it is a useful manual with accurate and current information, as and when you need it - The Law Society Gazette Provides up-to-date coverage and analysis of the intellectual property laws applicable to all forms of computer software, placing the law in the context of computer use, examining copyright, database rights, patents, trade marks, design rights and the law of confidence. Updates to the 8th edition include: - a new chapter on Intellectual Property and AI - a number of cases on FRAND licensing in relation to telecommunications standards technologies, including Unwired Planet v Huawei - the effects of Brexit on intellectual property regulations - developments in the EU, US and other jurisdictions Information Technology and Intellectual Property Law can either be read from cover to cover as a thorough introduction to the subjects addressed or be used as a very useful starting point for a specialist practitioner faced with a particular problem on a particular case. With this in mind, this book is an essential addition to any IT and IP practitioner's bookshelf, as well as a useful textbook for non-specialists, advanced undergraduates and taught in postgraduate IT and IP courses. This title is also available as part of Bloomsbury Professional's IP &amp; IT online service.

This book is a must-read for any aspiring IP lawyer... it is a useful manual with accurate and current information, as and when you need it - The Law Society Gazette

Provides up-to-date coverage and analysis of the intellectual property laws applicable to all forms of computer software, placing the law in the context of computer use, examining copyright, database rights, patents, trade marks, design rights and the law of confidence.

Updates to the 8th edition include:
- a new chapter on Intellectual Property and AI
- a number of cases on FRAND licensing in relation to telecommunications standards technologies, including Unwired Planet v Huawei
- the effects of Brexit on intellectual property regulations
- developments in the EU, US and other jurisdictions

This book can either be read from cover to cover as a thorough introduction to the subjects addressed or be used as a very useful starting point for a specialist practitioner faced with a particular problem on a particular case. With this in mind, this book is an essential addition to any IT and IP practitioner's bookshelf, as well as a useful textbook for non-specialists, advanced undergraduates and taught in postgraduate IT and IP courses.

Bainbridge on Information Technology and Intellectual Property Law

This book draws on research and experience in occupational health and safety to address a fundamental question: what separates a near miss incident from an accident that results in injury? Through analysis of workplace events, the author proposes that fortuity and luck are the key factors determining accident outcomes. Building on the CECAL (Cause, Effect, and Control of Accidental Loss) model introduced in 2000, the book explores the three 'Luck Factors' that intervene in undesired events, offering a fresh perspective on accident outcomes.This title provides the insights and tools needed to transform your perspective on workplace safety. With real-life examples, including the NASA Columbia disaster and United Airlines Flight 232, it challenges traditional safety metrics and introduces innovative concepts such as the Safety Fear Factor. It explains why measuring safety performance through injury rates is flawed, as these metrics often reflect luck rather than control. Readers will gain practical guidance on implementing proactive Safety Management Systems (SMS) to recognize, assess, and rectify near miss incidents, empowering them to prevent accidents effectively rather than relying on chance.The Safety Luck Factors: The Fortuity Elements that Influence Accident Outcomes is essential for safety professionals, workplace managers, and anyone involved in occupational health and safety.

The Fortuity Elements that Influence Accident Outcomes

The Safety Luck Factors

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to: - Define a clear strategy for integrating agentic AI - Establish governance frameworks to manage risk and accountability - Drive workforce adoption and address resistance to AI collaboration - Assess economic value and impact of agentic AI systems &gt;Featuring real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Analytics and AI for Healthcare

The book provides an authoritative and accessible guide on integrating intelligent technologies, specifically Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), into modern eye care.Written by experts in ophthalmology, medical AI, and healthcare innovation, it offers a multidisciplinary exploration of how these tools are fundamentally redefining ophthalmic diagnostics, therapeutics, and surgical interventions. The core focus is on bridging the gap between technical AI innovations and their clinical deployment, offering a practical roadmap for clinicians and researchers. It combines cutting-edge research with real-world applications to demonstrate how AI is being used for the early and accurate detection of retinal diseases and glaucoma, enhancing surgical precision via robotics, and guiding personalized treatment plans. Three key areas are studied throughout the book. First, AI-powered imaging diagnostics, to explore how ML and DL models are used for the early and accurate detection of retinal diseases and glaucoma, supporting faster and more precise decision-making. Second, the application of AI-assisted surgical robotics in ophthalmology: In this topic, we shall examine how AI integration in robotic surgery enhances precision, reduces risk, and supports surgical planning. Third, ethical and regulatory considerations to address the responsible adoption of AI, including data governance, patient privacy, and health equity in ophthalmic care. These topics are essential for stakeholders navigating the clinical, technical, and ethical dimensions of AI implementation and adoption. Ultimately, the text aims to show how the responsible adoption of AI is actively improving clinical outcomes and reshaping the future of vision science.The primary audience for this book includes students taking advanced undergraduate or postgraduate courses on medical technology, medical imaging and healthcare bioinformatics. It would also serve as a useful guide for practicing ophthalmologists, optometrists, biomedical engineers, computer vision experts, and AI developers, working in the healthcare and medical related areas.

Revolutionizing Eye Care with Machine Learning, and Deep Learning

AI in Modern Ophthalmology

Handbook of Geospatial Artificial Intelligence

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