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Integrating Artificial Intelligence Into
the Energy Sector

Integrating Artificial Intelligence Into the Energy Sector

Energy Transition and Digital Transformation in the Arab Region: Shaping an Inclusive, Green Transformation in the Digital Age addresses one of the most pressing challenges of our time: how Arab economies can simultaneously accelerate the energy transition, embrace digital transformation, and ensure affordability and inclusion. Historically reliant on hydrocarbons, the region now faces structural vulnerabilities, climate risks, and social inequalities. This reference provides a coherent framework to support policymakers, researchers, and practitioners in navigating these interconnected imperatives. The volume is structured into four sections. The first establishes foundations of energy transition and digital transformation, including affordability, policy landscapes, and SDG alignment. The second examines technological innovation, with chapters on artificial intelligence, smart grids, cybersecurity, digital twins, and circular economy models. The third section explores economic diversification and social impacts, covering labor markets, green jobs, gender and youth inclusion, and climate resilience. The final section addresses strategies, investments, and governance, including financing models, institutional reform, and regional cooperation, culminating in a roadmap for an inclusive and digitally enabled energy future. Energy Transition and Digital Transformation in the Arab Region benefits its audience by combining interdisciplinary insights with region-specific case studies and policy recommendations. It equips policymakers with frameworks for equitable energy reforms, guides practitioners in deploying emerging technologies for efficiency and resilience, and provides academics and students with original research and thematic synthesis. By aligning with the UN Sustainable Development Goals, this book is a strategic tool for advancing sustainable, inclusive, and competitive futures across Arab economies.

Shaping an Inclusive, Green Transformation in the Digital Age

Energy Transition and Digital Transformation in the Arab Region

Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Corporate Governance in the Age of Artificial Intelligence

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

Contributions to Economics

Pasquale L. Scandizzo holds a Ph.D. from the University of California, Berkeley. He is Professor of Political Economy, past Director and Fellow of the Center for Economic and International Studies, Senior Fellow and Member of the Advisory Board of the University of Rome “Tor Vergata” Foundation, President of the Villa Mondragone Economic Development Association, President Emeritus of the Italian Society of Development Economics, and Chairman of OpenEconomics International, a university spin off focusing on project evaluation and economic development. His former institutional positions include the Governing Board of the Italian Institute of Statistics, the Italian Institute for Economic Planning (President), the National Planning Board, the Italian Parliamentary Budget Committee (Senior Adviser), the Ministry of Economics and Finance (Economic Adviser) the World Bank (Senior Economist and Research Coordinator). He has developed widely published methodologies to evaluate public investment programs, by combining option theory, cost benefit analysis and computable general equilibrium methods, and
 
 has been advising the World Bank and other multilateral institutions on the applications of these methodologies to policies of sustainable development.

This study explores the transformative potential of Artificial Intelligence (AI) in the tourism sector, emphasizing its role in enhancing service quality, operational efficiency, and global reach. To assess future impacts, the study uses a Social Accounting Matrix (SAM) and a Computable General Equilibrium (CGE) model built on GTAP 11 data. A scenario analyzing €66 billion in AI-tourism investments across G7 and other nations suggests strong short-term returns, particularly for capital and skilled labor, with the U.S. leading due to favorable infrastructure and market conditions. These findings point to the need for skill development and equitable policy design. AI’s capacity to personalize experiences and optimize operations positions it as a key driver of sustainable growth in tourism, with considerable economic spillovers and transformative potential across global markets.

A General Equilibrium Analysis

Tourism, Structural Features and Artificial Intelligence

The book explores how emerging digital technologies can address the interconnected challenges of food security, climate change, and sustainability. It delves into AI-driven predictive models for crop yield estimation, IoT-enabled soil and water monitoring, and renewable energy-powered smart irrigation systems. The book highlights practical applications of big data, precision farming, and cloud platforms to enhance productivity, reduce ecological footprints, and improve resilience to climate change. With global case studies and interdisciplinary insights, it serves as a resource for researchers, students, farmers, agribusiness leaders, and policymakers, offering actionable strategies for transforming agriculture into a climate-resilient and resource-efficient sector.

AI, Technology, and Sustainability

Smart Solutions for a Changing Climate

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

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

A fairer, healthier, more caring and sustainable society is entirely within our grasp. The renowned co-author of The Spirit Level shows us the way.'An uplifting vision for solving inequality that benefits everyone' ANDY BURNHAM'Poverty and inequality are at the heart of all our problems. Kate Pickett's book shows how tackling them must be at the heart of our solutions too' ZACK POLANSKI'Just what these times are crying out for' KATE RAWORTHHow do we ensure that everyone has good health and receives the care they need? How do we provide education that allows every child to flourish? How do we ensure safety, justice and a sustainable environment for all?In this inspiring book, world-leading social scientist Kate Pickett shows that to make a good society - in which everyone has what they need to be well, and everyone would be better off - we must prioritise the health, care, education and rehabilitation of those who have the least and suffer the most. Drawing on decades of proven solutions and success stories from around the globe, The Good Society cuts to the essence of the challenges we face and presents us with a practical, perspective-shifting vision for how to tackle them.'Genuinely transformative. A powerful and deeply humane vision that focuses on what really matters' DANIEL CHANDLER'Daringly optimistic' FINANCIAL TIMES'Electrifying' POLLY MORLAND'Vital ... shines a light for hope' INDEPENDENT

And How We Make It

The Good Society

Artificial intelligence is not just transforming the economy; it is fundamentally redefining the core principles of economic theory.
From the Phillips Curve to portfolio optimization, and from the Laffer Curve to Lewis’s dual-sector model, the core frameworks that have shaped economics for over a century are now evolving through intelligent machines, algorithms, and data-driven decision-making. In this work, Tshilidzi Marwala reanalyzes 18 fundamental principles of economic thought, such as demand and supply, rational choice, information asymmetry, mechanism design, agency theory, comparative advantage, growth, governance, and market efficiency, from an AI perspective.
Drawing on economics, artificial intelligence, finance, public policy, and global governance, the book explains how AI is changing productivity, labor markets, inflation, competition, taxation, and the relationships between states, companies, and citizens. It shows that traditional ideas based on scarcity, human labor, limited rationality, and static institutions are gradually being replaced by a modern economic framework driven by intelligent capital, algorithmic coordination, and autonomous systems. The outcome is a comprehensive and timely framework for understanding the political economy of the AI era, detailed in analysis, globally oriented, and essential for policymakers, scholars, business leaders, and anyone seeking to understand how intelligence is becoming the primary driver of economic transformation.

Artificial intelligence is not just transforming the economy; it is fundamentally redefining the core principles of economic theory.From the Phillips Curve to portfolio optimization, and from the Laffer Curve to Lewis’s dual-sector model, the core frameworks that have shaped economics for over a century are now evolving through intelligent machines, algorithms, and data-driven decision-making. In this work, Tshilidzi Marwala reanalyzes 18 fundamental principles of economic thought, such as demand and supply, rational choice, information asymmetry, mechanism design, agency theory, comparative advantage, growth, governance, and market efficiency, from an AI perspective.
 Drawing on economics, artificial intelligence, finance, public policy, and global governance, the book explains how AI is changing productivity, labor markets, inflation, competition, taxation, and the relationships between states, companies, and citizens. It shows that traditional ideas based on scarcity, human labor, limited rationality, and static institutions are gradually being replaced by a modern economic framework driven by intelligent capital, algorithmic coordination, and autonomous systems.
 
 The outcome is a comprehensive and timely framework for understanding the political economy of the AI era, detailed in analysis, globally oriented, and essential for policymakers, scholars, business leaders, and anyone seeking to understand how intelligence is becoming the primary driver of economic transformation.

How AI Rewrites Theory, Markets, and Policy

Intelligent Economies

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

Everyone is talking about sustainability, yet its concrete meaning and consequences are often unclear. This handbook explains how global goals, climate change, and policy in the UN, EU 27, Germany, US, UK, and China fit together and shape our future.
It leads the reader from core concepts and key international agreements through a concise stock taking and long term outlook to concrete instruments for a more sustainable world. The handbook focuses on the real impact of global and European measures on economies, societies, and the planet. The role of Germany, the US, UK, and China is presented in each case.
Prof. Fieber assesses the achievements of the 17 UN Sustainable Development Goals and the Paris Agreement. The countries responsible for global warming are identified and their contributions to improving the situation are compared. In addition, the advantages of liberal democracy over autocracy for achieving greater sustainability in one's own country and worldwide are a subject of this book.
The author¿s aim is to sharpen reader¿s awareness of the necessity for climate action while showing that ambitious sustainability policy can secure stable ecological, social, and economic foundations for future generations. 
It should also be made clear that every individual can contribute to greater sustainability. Taken together, government policy and these personal contributions can bring about a significant improvement in sustainability worldwide.

Goals, Climate Change, Politics

Sustainability

Integrating Artificial Intelligence Into the Energy Sector

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