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Nelishia Pillay

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Hyper-Heuristics: Theory and Applications

&lt;p&gt;Introduction to Hyper-Heuristics.- Selection Constructive Hyper-Heuristics.- Selection Pertubative Hyper-Heuristics.- Generation Constructive Hyper-Heuristics.- Generation Perturbative Hyper-Heuristics.- Theoretical Aspect: A Formal Definition.- Vehicle Routing Problems.- Nurse Rostering Problems.- Packing Problems.- Examination Timetabling Problems.- Cross-Domain Hyper-Heuristics.- Advances in Hyper-Heuristics.- Conclusions and Future Research Directions.&lt;/p&gt;

Turn enterprise AI into a source of strategic insight, not just productivity gains.The AI Gap by leading AI expert and keynote speaker Richard Foster-Fletcher shows business and technology leaders how to unlock greater value from enterprise AI by changing the structures, processes and culture surrounding it. Organizations invest in AI expecting new intelligence and transformative insights. Yet AI is often introduced through procurement, security, legal and compliance systems designed for standard software, restricting its potential before it can deliver on that promise. This book explains why this gap persists and what organizations must change to close it. You'll learn how to: - Identify organizational barriers limiting the value of AI - Move beyond productivity-focused AI implementation - Create conditions where AI can generate deeper insights - Enable employees to explore, experiment and challenge established thinking &gt;The AI Gap equips leaders to rethink AI implementation, create space for experimentation and turn artificial intelligence into a powerful driver of organizational insight and long-term business value. Themes include: enterprise AI, AI implementation, AI strategy, business transformation, organizational culture, AI innovation

How Business Decisions Expand What AI Can Do

The AI Gap

When ChatGPT was launched in November 2022, it captured the imagination of the public as well as leading companies, including the banking sector. But as people explored ChatGPT they soon found flaws. Lawyers and judges realised they had relied on non-existent case law. Others discovered that ChatGPT claimed to be the author of books and articles that existed long before it was created. Despite these 'hallucinations', banks remain attracted by the claim that AI can answer and ask questions, generate text, draft emails and translate natural language to code. Customer relations have in some cases been improved by using this technology, thus cutting costs and improving productivity and profits. Drawing on original, candid interviews with senior figures in the sector, How AI will revolutionise banking analyses the risks and challenges to banks and their regulators, as well as proposed solutions to issues such as hallucinations. It offers a comprehensive, up-to-date account of this exciting new technology and what it means for the world of finance.

And what it means for banks and their clients

How AI will revolutionise banking

Contemporary Issues in Air Transport

Transforming Air Cargo: Innovations, Challenges, and Sustainable Solutions in a Dynamic Market examines the rapidly evolving air cargo industry, addressing the critical factors shaping its future. Sections delve into the impacts of e-commerce growth, technological advancements, the COVID-19 pandemic, and global supply chain restructuring. Topics covered include commercial and regulatory contexts such as air cargo demand forecasting and revenue management, resiliency and sustainability, air cargo flow networks, economic development, strategies for reducing CO2 emissions, including the adoption of sustainable aviation fuel (SAF), and emerging strategies such as innovative approaches of air cargo carriers and key players like Amazon Prime Air. Final sections investigate technological innovations, including advanced air mobility and digital transformation within the industry. This book is an invaluable tool for industry professionals, including air cargo operators, logistics managers, and supply chain experts, as well as academics and students in logistics, transportation, and business management. Readers will gain critical insights into market trends and challenges, empowering them to make informed strategic decisions.

Innovations, Challenges, and Sustainable Solutions in a Dynamic Market

Transforming Air Cargo

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

Bridging Technology and Purpose

AI for Financial Sustainability

Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight.AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience-from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines.Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union.Authored by a veteran industry practitioner, creator of five previous Wiley &amp; Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance

Auditable AI Governance and Risk Management

Das moderne Recht wirft viele grundsätzliche Fragen auf: Ist Recht mit Gerechtigkeit notwendig verbunden? Was ist überhaupt Recht und was Gerechtigkeit? Wie verhalten sich Recht und Moral zueinander? Warum und unter welchen Bedingungen ist Recht verbindlich?
Diesen und zahlreichen anderen Fragen zu Recht, Ethik und ihrer Bedeutung für Staat und Gesellschaft geht Mahlmann in seinem Lehrbuch anhand von vielen Beispielen nach - von der Folter über die neuen Herausforderungen Künstlicher Intelligenz für das Recht bis hin zu Perspektiven einer internationalen Friedensordnung in einer Epoche neuer Kriege. Dabei schlägt er einen Bogen von der Antike bis in die Gegenwart und entwickelt vor diesem historischen Hintergrund Antworten auf zentrale systematische Fragen der Rechtsphilosophie und Rechtstheorie.

Das moderne Recht wirft viele grundsätzliche Fragen auf: Ist Recht mit Gerechtigkeit notwendig verbunden? Was ist überhaupt Recht und was Gerechtigkeit? Wie verhalten sich Recht und Moral zueinander? Warum und unter welchen Bedingungen ist Recht verbindlich?
Diesen und zahlreichen anderen Fragen zu Recht, Ethik und ihrer Bedeutung für Staat und Gesellschaft geht Mahlmann in seinem Lehrbuch anhand von vielen Beispielen nach – von der Folter über die neuen Herausforderungen Künstlicher Intelligenz für das Recht bis hin zu Perspektiven einer internationalen Friedensordnung in einer Epoche neuer Kriege. Dabei schlägt er einen Bogen von der Antike bis in die Gegenwart und entwickelt vor diesem historischen Hintergrund Antworten auf zentrale systematische Fragen der Rechtsphilosophie und Rechtstheorie.

Rechtsphilosophie und Rechtstheorie

This book is the first investigation of the relationship between EU digital sovereignty and sustainability strategies. It maps the ambitions and limitations of EU digital strategic autonomy and explores the structural challenges underlying its relationship with its green transition objectives in the context of the ongoing wars in neighbouring European countries and the consequent tensions in the EU energy sector. The EU is racing to achieve technological independence from third countries and foreign multinational companies to protect its digital sovereignty and preserve its fundamental rights. In the EU, digitalisation and the green transformation are seen as twin transitions. Yet, EU digital sovereignty strategies have a significant environmental cost. Reaching a status of strategic autonomy of the EU at the level of digital infrastructures, products, services and data implies higher energy consumption and exploitation of natural resources. Moreover, the geopolitical tensions following the Russian invasion of Ukraine have provoked an unprecedented energy crisis, which is affecting EU economies and impacting objectives of the twin transitions. The book offers an interdisciplinary analysis of the major EU regulatory and policy instruments in this field, providing an invaluable guide for academics, practitioners, and policymakers navigating the complex issues of preserving digital sovereignty and addressing climate change in times of war and energy crisis.

EU Challenges in Times of War and Energy Crisis

Digital Sovereignty and the Green Transition

Platform Supply Chains in the AI Era

This open access book explores the network design and planning of platform-based supply chains in four chapters based on mathematical modeling, algorithm analysis, and numerical experiments. The main research methodologies in this book include mathematical modeling, linear programming, integer and combinatorial programming, and stochastic and robust optimization.&nbsp;What makes the book unique is the new insights into network design and planning for platform-based supply chains, which differ from those for traditional supply chains. This makes the subject in this book of significance, although there are abundant existing works on relevant topics for traditional supply chains. Another important feature of this book is the systematic perspective to unify network design in deterministic and uncertain settings for platform-based supply chains. By summarizing the new research results obtained from the implementation of a national project on platform-based supply chain, this provides a generalized scope on network design and planning for large-scale supply chains.

Network Design and Planning

Platform Supply Chains 3

Essentials

essentials plus online course

Wissen wird zum Erfolgsfaktor, wenn es im richtigen Moment verfügbar, verständlich und nutzbar ist. Dieses Buch mit Online-Kurs zeigt praxisnah, wie Organisationen ihr Wissen mit künstlicher Intelligenz (KI) systematisch organisieren, sichern und für Menschen wie KI-Anwendungen erschließen können.
Im Zentrum stehen generative KI, RAG-Systeme, KI-Agenten und die Worksphere Map als Werkzeug, um Arbeitsgebiete, Wissensflüsse, Rollen, Prozesse und Quellen sichtbar zu machen. Daraus entstehen strukturierte Wissenselemente für bessere Zusammenarbeit, schnellere Einarbeitung, Wissenstransfer und verantwortungsvolle KI-Nutzung. Den Zugang zum Online-Kurs finden Sie direkt im Buch.
Der Inhalt
<ul>
<li>Wissensorganisation als Grundlage für Lernen, Handlungsfähigkeit und Wertschöpfung</li>
<li>KI als kognitives Exoskelett der Wissensarbeit</li>
<li>RAG, KI-Agenten und KI-gestützte Wissenssysteme</li>
<li>Worksphere Map, Wissensflüsse und Wissenselemente</li>
<li>Governance, Datenschutz, Qualitätssicherung und Reifegradmodell</li>
<li>Praxisbeispiele, Wissenstransfer und Einführung KI-fähiger Wissensplattformen</li>
</ul>
Die Autoren
Benno Ackermann ist Geschäftsführer der Wissenstransfer GmbH, Berater und Dozent für Wissensmanagement, Wissenstransfer und Organisationsentwicklung.
Prof. Dr. Oliver Krancher forscht und lehrt zu Wissensmanagement, Digitalisierung, KI-Governance und Mensch-KI-Zusammenarbeit.
Prof. Dr. Klaus North ist ein profilierter Experte für Wissensmanagement, wissensorientierte Unternehmensführung und organisationales Lernen.
Gemeinsam verbinden die Autoren wissenschaftliche Erkenntnisse mit Praxiserfahrung und zeigen Wege zu einer wirksamen, KI-gestützten Wissensorganisation.
&nbsp;

Wissen wird zum Erfolgsfaktor, wenn es im richtigen Moment verfügbar, verständlich und nutzbar ist. Dieses Buch mit Online-Kurs zeigt praxisnah, wie Organisationen ihr Wissen mit künstlicher Intelligenz (KI) systematisch organisieren, sichern und für Menschen wie KI-Anwendungen erschließen können.Im Zentrum stehen generative KI, RAG-Systeme, KI-Agenten und die Worksphere Map als Werkzeug, um Arbeitsgebiete, Wissensflüsse, Rollen, Prozesse und Quellen sichtbar zu machen. Daraus entstehen strukturierte Wissenselemente für bessere Zusammenarbeit, schnellere Einarbeitung, Wissenstransfer und verantwortungsvolle KI-Nutzung. Den Zugang zum Online-Kurs finden Sie direkt im Buch.Der Inhalt<ul><li>Wissensorganisation als Grundlage für Lernen, Handlungsfähigkeit und Wertschöpfung</li><li>KI als kognitives Exoskelett der Wissensarbeit</li><li>RAG, KI-Agenten und KI-gestützte Wissenssysteme</li><li>Worksphere Map, Wissensflüsse und Wissenselemente</li><li>Governance, Datenschutz, Qualitätssicherung und Reifegradmodell</li><li>Praxisbeispiele, Wissenstransfer und Einführung KI-fähiger Wissensplattformen</li></ul>Die AutorenBenno Ackermann
 ist Geschäftsführer der Wissenstransfer GmbH, Berater und Dozent für Wissensmanagement, Wissenstransfer und Organisationsentwicklung.
 Prof. Dr. Oliver Krancher
 forscht und lehrt zu Wissensmanagement, Digitalisierung, KI-Governance und Mensch-KI-Zusammenarbeit.
 Prof. Dr. Klaus North 
 ist ein profilierter Experte für Wissensmanagement, wissensorientierte Unternehmensführung und organisationales Lernen.
 Gemeinsam verbinden die Autoren wissenschaftliche Erkenntnisse mit Praxiserfahrung und zeigen Wege zu einer wirksamen, KI-gestützten Wissensorganisation.&nbsp;

Strategien, Methoden und Werkzeuge für die wissensbasierte Organisation von morgen

Erfolgreiche Wissensorganisation mit KI und Worksphere Map

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

Shortlisted for the Financial Times and Schroders Business Book of the Year Award How 1,000 years of global history show why technological and economic progress is often followed by stagnation and even collapse In How Progress Ends, Carl Benedikt Frey challenges the conventional belief that economic and technological progress is inevitable. For most of human history, stagnation was the norm, and even today progress and prosperity in the world's largest, most advanced economies--the United States and China--have fallen short of expectations. To appreciate why we cannot depend on any AI-fueled great leap forward, Frey offers a remarkable and fascinating journey across the globe, spanning the past 1,000 years, to explain why some societies flourish and others fail in the wake of rapid technological change. By examining key historical moments--from the rise of the steam engine to the dawn of AI--Frey shows why technological shifts have shaped, and sometimes destabilized, entire civilizations. He explores why some leading technological powers of the past--such as Song China, the Dutch Republic, and Victorian Britain--ultimately lost their innovative edge, why some modern nations such as Japan had periods of rapid growth followed by stagnation, and why planned economies like the Soviet Union collapsed after brief surges of progress. Frey uncovers a recurring tension in history: while decentralization fosters the exploration of new technologies, bureaucracy is crucial for scaling them. When institutions fail to adapt to technological change, stagnation inevitably follows. Only by carefully balancing decentralization and bureaucracy can nations innovate and grow over the long term--findings that have worrying implications for the United States, Europe, China, and other economies today. Through a rich narrative that weaves together history, economics, and technology, How Progress Ends reveals that managing the future requires us to draw the right lessons from the past.

Technology, Innovation, and the Fate of Nations

How Progress Ends

Hyper-Heuristics: Theory and Applications

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