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Berton L: Kubernetes AI

Kubernetes AI

Run LLMs, GPUs, and ML Workloads in Production

In a complex business landscape, enterprise architecture can't afford to be a static governance process. Instead, architecture must be adaptive and strategic. This book shows how. Drawing on decades of experiences, Adaptive Enterprise Architecture by Rubi Kaur is a practical guide to enterprise architecture that responds to real business conditions. Explaining why traditional architecture practices are no longer effective, it shows the impact of the pressures of AI, the complexity of modern organizations both in terms of technology and structure as well as the increase of ESG, tech supply chain and geopolitical risks. The book introduces its FLOW model which covers how architecture must operate in the new world. It explains how architect can work across the entire business, build adaptive and evolving architecture, reimagine their roles as orchestrator, create adaptive and agile governance. It equips architects to operate in flow: adapting in real time, orchestrating across business, technology, people and AI. Each chapter will include reflection prompts and practical experiments. The book will feature real-world examples from financial services, telecommunications, the public sector and consulting from the authors' careers and interviews with leading practitioners.

Build Strong Operating Models and Infrastructures for Successful Organizations

Adaptive Enterprise Architecture

Navigate leadership transformation when Industrial Age strategies no longer apply In Emergence: How Leaders Break Free from Outdated Thinking, Jennifer Vessels - CEO of Next Step and the change agent who led Adobe's shift from packaged software to cloud subscriptions, from during which its market value grew from $16 billion to $250 billion - delivers a proven approach for leading organizations through rapid, converging disruptions in which traditional planning approaches consistently fail to produce results. The book introduces the P.E.A.C.E. compass - Purpose, Exploration, Action, Collaboration, Empowerment - a structured approach for thriving when predetermined paths disappear. Drawing on transformation work with Adobe, Cisco, Novartis, Schneider Electric, and IKEA, Vessels shows how to integrate AI with human talent, empower multi-generational teams, and build organizations that are ready for continuous change. Readers will also discover: <ul> <li>Strategies for navigating five converging forces - Speed, Confidence, Meaning, Pressure, and Human/AI disruption - reshaping the leadership landscape</li> <li>Practical AI integration approaches used within global enterprises including Van Ameyde, IKEA, and Barloworld</li> <li>How to shift from fear-based decision-making to intuition-driven, experiential leadership that produces measurable organizational results</li> <li>Tiger team structures and empowerment approaches that release collective capability at scale across large organizations</li> <li>The story of Marie, a young woman who navigated wartime Europe on purpose and confidence alone - proof that the P.E.A.C.E. principles are timeless and accessible to anyone, regardless of title or authority</li> <li>Lessons from IKEA's six-year Korean market entry and Novartis's approach to restructuring every six months</li> </ul> Designed for CEOs, executives, managers, and anyone struggling to keep up, Emergence provides the approach leaders need when markets shift faster than traditional planning allows, with tested lessons from engagements with Adobe, Cisco, Google, IKEA, Microsoft, and Novartis. The future is emerging. Take action now - before it moves without you. "Jennifer Vessels has captured the new reality but also powerfully lays out how we can navigate productive ways into the future." Stuart Crainer, cofounder Thinkers50 "Your greatest competitive advantage today is quietly becoming your most dangerous blind spot tomorrow. In this book, Jennifer Vessels distills two decades of experience to provide an approach for leaders ready to trade the comfort of expertise for the courage of navigation."&nbsp; Sunil Gupta, Professor Digital Strategy/Innovation, Harvard &nbsp;

How Leaders Break Free From Outdated Thinking

Emergence

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- Manage reputational and operational risks from AI agent behaviorFeaturing 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

A clear, thoughtful, and practical guide to writing in the age of generative AI. AI and Writing is an indispensable guide to composing with generative AI. Sidney I. Dobrin prepares students to use GenAI effectively, ethically, and critically--skills now essential for academic and professional success. The book tackles core questions: What tasks do these tools best support? Where do they fall short? How are they used responsibly? Dobrin focuses on durable, transferable writing practices, as well as the real-world issues raised by AI, including authorship, plagiarism, copyright, bias, and the material consequences of AI. "Provocations" boxes spark critical engagement, and each chapter concludes with a sequence of exercises and activities that move students from analysis to hands-on experimentation and reflection.

AI and Writing - Second Edition

A Practitioner's Guide to Investing in Digital Infrastructure 

Data Centers Unlocked

Understand how algorithmic power governs society and how to hold it accountable While much of the public debate remains focused on whether AI systems are truly intelligent, when they may surpass human intelligence, or how useful or dangerous they may become, the deeper issue is being overlooked. Today's most powerful algorithmic systems increasingly reassemble powers that political thought once deliberately separated under the doctrine of Trias Politica. The book argues that compute, energy, training operate as an algorithmic executive; that code, model design, optimization targets, and embedded constraints function as an algorithmic legislature; and that evaluation, auditing, and benchmarking function as an algorithmic judiciary. What would be intolerable for many, the fusion of rulemaking, execution, and judgment, is becoming the standard of our society enabled by algorithmic systems. They now shape access, opportunity, and justice at machine speed - yet they operate largely beyond democratic scrutiny. Trias Algorithmica: What Code Rules, by Hamilton Mann, a Thinkers50 honouree, originator of the concept of Artificial Integrity, and leading authority in AI transformation, traces where this power originates, how it sustains itself through manufactured dependence, and what a constitutional framework for algorithmic governance must look like. The book introduces original concepts including aggregogenous monopoly, Technological Stockholm Syndrome, dependautonomy, and unpacks the revaluing mechanism of work. It also presents a practical framework of nine critical questions for interrogating algorithmic power deployment. It proposes algorithmic safety cases as constitutional safeguards alongside eight principles for separating design, oversight, and enforcement functions as a new Trias Politica for the age of code - preventing concentrated, self-judging systems from operating unchecked at scale across organisations and public institutions. You'll also explore: <ul> <li>How concentrated AI infrastructures turn code into enforceable law and corporate product into policy revealing how trust becomes the social license for algorithmic power.</li> <li>The spectrum of human-in-the-loop roles, from genuine oversight to compliance instruments effectively displaced by automation</li> <li>Why algorithmic efficiency gains can expand harmful uses unless constrained by deliberate macro-level governance boundaries</li> <li>How data-driven valuation systems reshape human worth through taskification, rankings, and machine-readable performance criteria</li> <li>A tested model for ensuring algorithmic governance remains bounded, reviewable, and fit for democratic purpose</li> <li>How the Trias Algorithmica can ensure legitimacy, contestability, and human dignity in the age of artificial intelligence systems.</li> <li>Turing's Imitation Game as a miniature constitution of roles showing how judgment, when stripped of friction, collapses into domination.</li> </ul> Trias Algorithmica is written for business leaders, policymakers, technologists, and organisational decision-makers responsible for deploying or governing AI systems. Whether you oversee digital transformation, shape regulation, or design algorithmic tools, this book provides the conceptual and practical foundations for accountable algorithmic governance.

What Code Rules

Trias Algorithmica

A road map for developing responsible and innovative governance systems based on generative AI and other exponential technologiesAs exponential technology rapidly advances, leaders in every sector are faced with the challenge of harnessing its potential power while developing precautionary safeguards against its risks. From generative artificial intelligence to the future of quantum computing, these innovations are transforming the world at an unprecedented rate, leaving decision-makers unsure of how to maintain control and ensure responsible development.Governing Pandora focuses on multiple exponential technologies in order to demonstrate how leaders can develop responsible and innovative governance systems. This book equips leaders with frameworks and tools-including a detailed five-element "exponential governance mind-set"--to develop a more holistic tech governance approach for current and future waves of exponential tech. Andrea Bonime-Blanc encourages the development of a culture of collaboration across borders, sectors, and disciplines as technology takes on a bigger role in our ecosystem. She explains the context, risks, and opportunities of the ongoing exponential technology revolution so that leaders can futureproof themselves, their organizations, and key stakeholders with strategies and tactics to act responsibly, ethically, and successfully.This book speaks directly to executives, board members, policymakers, and organizational leaders who are tasked with charting a course through the advancement of modern technologies. Governing Pandora bridges the gap between exploring pure technology and managing and governing applied technology. Readers will learn not only how to develop a governance mind-set for exponential technology but also how to build organizational resilience.

Leading in the Age of Generative AI and Exponential Technology

Governing Pandora

A Spatial New World

The RAG Researcher

Automated E-Discovery and Case Law Precedent with AI

The Unintended Consequences of the AI, Robotics and Biotech Revolution

A Perfect World

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

Kubernetes AI

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