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Nelson H: AI Powered Digital Twins

AI Powered Digital Twins

A Guide for Humans, Engineers, and Enterprises

Preface xxi Part 1 AI-native Digital Twins 1 Chapter 1 Digital Twins and Humans 3 Chapter 2 When AI Powers Digital Twins 19 Chapter 3 AI Agents Within Digital Twins 45 Part 2 Infrastructure and Security Requirements 87 Chapter 4 AI Data Centers 91 Chapter 5 Energy Infrastructure for AI at Scale 101 Chapter 6 A Standard of Care for AI-powered Digital Twins 109 Chapter 7 Cybersecurity 123 Part 3 Engineering 141 Chapter 8 AI Engineering 143 Chapter 9 Hardware Layer and Supply Chain 171 Chapter 10 Communication Networks and Graphs 185 Chapter 11 Data Engineering 197 Chapter 12 System Design 221 Chapter 13 Mathematical Modeling and Computation 235 Chapter 14 Engineering for Longevity 257 Chapter 15 The Quantum Realm, Computation, and Consciousness 269 Part 4 Humans, Purpose, and Business 283 Chapter 16 AI and Data Strategy 285 Chapter 17 Business, Bubbles, and Human-centered Philosophy 291 Appendix: Full Engineering Architecture Expanded 303 Resources and Influences 311 About the Author 315 Index 317

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

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

A practical guide to navigating AI's transformation of literacy and education, this book combines the long-standing values of writing studies with instruction on how students and teachers can write more effectively with AI. Mirroring the seismic changes on writing brought about by the printing press, the typewriter and the internet, AI's impact on literacy, teaching and writing marks a shift in how we think about knowledge production, intellectual labour and composition. Moving students away from a myopic, transactional, 'vending machine-style' approach, Writing with AI offers techniques on engaging with these new technologies more critically and thoughtfully. With structured, adaptable frameworks based upon relational and conversational models of engagement, this book allows students to better articulate and compose their needs, refine their questions, and engage in an iterative exchange with more meaningful and useful responses from generative learning language models. Introducing a four-part recursive framework - Question, Analyze, Iterate, Compose (QAIC) - that guides students through a deliberate process, Writing with AI gives students the tools for ensuring that AI is integrated thoughtfully and ethically into their work rather than being used as a shortcut. Designed for immediate classroom use, the book features: - Consideration of the ethics of AI - How students can formulate context-aware questions for prompts - Guidance on how students can assess and refine AI-generated content - Explanation on how the use of AI can be a part of a process that expands critical thinking skills - Demonstrations of how AI-assisted insights can be structured into meaningful compositions Offering a structured way to interact meaningfully with AI in the current pedagogical moment, this is an essential resource to exploring the monumental next stage in human development that isn't going away. A readable, accessible alternative to resisting change, Writing with AI reveals that artificial intelligence reinforces the very processes that are essential to good writing, rather than replacing them.

Literacy in the Digital Age

Writing with AI

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

This book offers an alternate trajectory for EU copyright law. Building on cultural norms in creative communities to reuse, recreate and share, the book proposes a more holistic approach to reconcile conflicting copyright interests. Drawing upon Niklas Luhmann's system theory, John Dewey's theory of art and feminist data theory, it advocates access to, and care within, creative communicative spaces, such as social media platforms or artificial intelligence (AI) data infrastructures, to safeguard creativity and cultural production online. Following a comprehensive assessment of current EU copyright law and related regulation, it proposes a rebuttable presumption of artistic communication to account for the nature of communication between authors, users and the public that safeguards creative reuse. The book isolates the question of remuneration, particularly in AI context, as one of collective socio-cultural value to address wider harms through a cultural commons existing on the border of the EU copyright system. Reflecting on traditional copyright concepts such as authorship, consent and remuneration alongside more novel legal structures like a right of collective informational self-determination, Reshaping EU Copyright Law to Support Creativity Online provides a foundation to reshape how the EU copyright system and its regulatory neighbours adequately respond to new forms of creativity, dissemination, and its use.

Offers an alternate trajectory for EU copyright law to adequately respond to new forms of creativity

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Explore how autonomous AI agents are transforming financial markets and decision-making&nbsp; In&nbsp;Agentic Finance: Mathematics, Architecture, and Governance for AI Agents in Finance,&nbsp;Miquel&nbsp;Noguer&nbsp;Alonso and David Pacheco Aznar examine the emerging field where autonomous AI systems&nbsp;operate&nbsp;independently in financial contexts. The book explores how agentic technologies&nbsp;-&nbsp;AI systems capable of independent reasoning, planning, and action&nbsp;-&nbsp;are reshaping how financial institutions approach analysis, trading, and risk management.&nbsp; The book&nbsp;explores&nbsp;the mathematical foundations powering autonomous AI agents, from the algorithms enabling independent decision-making to the frameworks governing multi-agent financial systems. Readers gain insight into how innovators are applying these technologies across trading, portfolio management, and market analysis, along with the technical principles driving this transformation.&nbsp; Readers will also discover:&nbsp; <ul> <li>The core mathematical concepts underlying autonomous AI systems, including reinforcement learning, optimization, and probabilistic reasoning frameworks&nbsp;</li> </ul> <ul> <li>How leading innovators are deploying agentic AI across trading, risk assessment, portfolio optimization, and financial forecasting applications&nbsp;</li> </ul> <ul> <li>Technical architectures enabling AI agents to&nbsp;operate&nbsp;autonomously while&nbsp;maintaining&nbsp;appropriate oversight&nbsp;and governance in financial environments&nbsp;</li> </ul> <ul> <li>Real-world applications&nbsp;demonstrating&nbsp;how autonomous systems analyze markets, execute strategies, and adapt to changing conditions&nbsp;</li> </ul> <ul> <li>The evolving regulatory and ethical landscape surrounding autonomous AI decision-making in high-stakes financial contexts&nbsp;</li> </ul> Agentic Finance&nbsp;serves quantitative analysts, financial technologists, AI researchers, portfolio managers, and business leaders&nbsp;seeking&nbsp;to understand how autonomous AI systems are transforming financial services. It provides the technical foundation needed to evaluate and implement agentic technologies.

Mathematics, Architecture, and Governance for AI Agents in Finance

Agentic Finance

Organizations have been promised that AI will revolutionize them. But what ends up happening is that AI ends up being introduced like standard software. When productivity is the only focus of enterprise AI, the real insights that AI can offer prove elusive. This book shows a better way. Written by leading AI expert and keynote speaker Richard Foster-Fletcher, The AI Gap explains why enterprise AI in most organizations isn't producing the insights that were promised. AI enters as a promise of new intelligence but passes through the procurement, security, legal and compliance systems built for standard software. These systems strip AI of its potential. This book traces how this happens, why it persists and what organization must change to capture the insights AI can deliver. This book will explain why the way AI is implemented keeps restricting its potential and what organization must change to capture the true value of AI. AI works best when it and employees are given the freedom to explore, challenge ideas and use AI in new and create ways. This book is about developing the structures, the environment, and the culture that allows AI to flourish in an organization as a key driver of insights rather than a simple productivity improvement.

How to Fix Enterprise AI and Get Real Insights

The AI Gap

A practical guide to data center investing, operations, and risk assessment Data Centers Unlocked: A Insider's Guide to Understanding and Investing in Digital Infrastructure provides a thorough examination of data centers as an emerging and increasingly important investment category. Jim Footh delivers a structured resource that addresses the technical, financial, and operational dimensions of data center assets, equipping readers with the knowledge needed to evaluate opportunities and assess risks in this rapidly evolving sector. Data Centers Unlocked covers the fundamental infrastructure and technology that underpin modern data center operations, along with the financial models and valuation methods relevant to this specialized real estate segment. Readers gain insight into power and cooling systems, site selection criteria, tenant considerations, market demand drivers, and the specific risk factors that distinguish data centers from traditional commercial property investments. Readers will also find: <ul> <li>Detailed analysis of data center infrastructure components and how they influence asset valuation and long-term investment returns</li> <li>Guidance on evaluating power, cooling, and connectivity requirements that drive operational costs and tenant attractiveness for data center facilities</li> <li>Coverage of market demand drivers including cloud computing, artificial intelligence, and enterprise digital transformation reshaping the sector</li> <li>Frameworks for assessing investment risk factors unique to data centers, from technology obsolescence to regulatory and environmental considerations</li> <li>Insight into site selection, lease structures, and tenant credit analysis that inform sound data center acquisition and development decisions</li> </ul> Ideal for real estate investors, asset managers, financial analysts, and institutional allocators seeking to understand data centers as a distinct investment class, this book provides the technical and financial grounding necessary to evaluate opportunities and manage risk in one of the fastest-growing segments of commercial real estate.

A Practitioner's Guide to Investing in Digital Infrastructure 

Data Centers Unlocked

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

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

Big-company systems, small-business budget.AI and automation have just put the kind of systems that once needed a corporate budget within reach of a five-person firm. For the first time, a small business can build them affordably. But affordable systems are only the start. What they really buy you is your time back, and a business that finally runs without you.Most small business owners are the engine their business runs on. Remarkable Business Systems shows you how to stop being the bottleneck, using the BUILD method, a five-step path to systems that fit how you really work and that your people will actually use. Whether you are a micro-business owner who wants their time back or you are heading up a growing team, this is the plain-English, step-by-step way to do it.Includes: <ul> <li> Ready-to-use AI prompts in every chapter </li> <li> Real small-business case studies </li> <li> The 90-Day Planner, a free interactive companion tool to track your progress and momentum week by week. </li> </ul>Richard Mawer is the founder of Ignite Growth and Leadnamic Systems, and the author of Remarkable Business Growth. He helps small business owners build systems that grow the business and give them their time back.

Get your time back with smarter systems, AI and automation

Remarkable Business Systems

AI Powered Digital Twins

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