What if art history were written through the nose? 'Exhalations: A Survey of Olfactory Art' is the first comprehensive English-language book to trace a century of olfactory practices in art, from the Futurists’ early experiments with scent to the bacterial installations of Anicka Yi, from Marcel Duchamp’s sealed vial of Parisian air to the ecological interventions of Peter de Cupere. Through the analysis of more than one hundred works, Sandra Barré demonstrates the extent to which smell has shaped modern and contemporary artistic practice, despite its persistent marginalization within criticism and institutions. Neither a medium nor a unified movement, olfactory art spans from Dada, Arte Povera, Fluxus, body art, Land Art, feminist practices, to postcolonial critique. Its concerns are equally wide-ranging: memory, desire, decay, gender, and ecological crisis. In doing so, it unsettles the ocularcentrism that has dominated Western art history since the Enlightenment, the assumption that vision constitutes the primary mode of aesthetic knowledge. Smell operates differently. It enters the body immediately, resisting stable interpretation and singular meaning. Two individuals may encounter the same smell and experience entirely different realities, neither of which can be fully privileged over the other. Drawing on archival research, conversations with artists, and years of curatorial practice, 'Exhalations: A Survey of Olfactory Art' is both a historical survey and a history of encounters. The book advances a compelling and overdue argument: that smell has always been present within artistic practice, that it has always carried meaning, and that attending to it transforms our understanding of art history itself. Originally published in French in 2021 by 'Les Éditions de la Lettre Volée', 'Exhalations: A Survey of Olfactory Art' is translated into English by artist Emilie McDermott.

Description
Angular has become the foundation of scalable web applications, and mastering its modern paradigms alongside design patterns is essential for frontend developers. Its standalone APIs and Signals have redefined how we structure application code. Knowing how to properly architect enterprise-grade Angular applications is a key differentiator for creating high-performance and maintainable software.

This book helps to bridge any gaps by mapping proven software design patterns to real Angular code. The book begins with fundamentals and TypeScript features, and it further explores component-driven development, reusable services, and standalone components with providers. You will also explore reactive programming with RxJS and Signals best practices, state management with NgRx, routing, lazy loading, and performance optimization. Finally, the book covers forms, data transformation with the Model-Adapter pattern, advanced behavioral patterns, micro-frontends with Angular Elements, and real-world enterprise case studies that bring all these concepts together.

By the end of this book, you will possess a deep, practical mastery of Angular architectural patterns and best practices, empowering you to confidently build, optimize, and scale production-ready applications in enterprise environments.

Description
As AI transitions from experimental projects into mission-critical applications across modern industries, traditional software testing techniques are proving inadequate for probabilistic machine learning, generative AI, and agentic AI systems. This book addresses this reliability gap by introducing AI TestOps—a specialized discipline designed to eliminate AI Quality Debt and build scalable AI solutions.

This book introduces AI TestOps, a practical engineering discipline for testing AI systems throughout their lifecycle. It explains how to validate data, features, models, behaviors, fairness, explainability, and guardrails using repeatable engineering practices. Readers will learn practical frameworks such as the Feature to Representation Integrity Model (FRIM), the Behavior Validation Loop (BVL), continuous testing and training (CTT), and Auto-Human-in-the-Loop (Auto-HITL), along with guidance on integrating testing into modern AI delivery pipelines using widely adopted open-source tools.

By the end of this book, readers will have a structured approach for designing, validating, deploying, and operating trustworthy AI systems. More importantly, they will understand how to build testing into AI engineering from day one, helping organizations deliver AI solutions that remain reliable as they evolve.

Design reliable agentic AI loops that act autonomously while remaining bounded, observable, independently verifiable, and accountable.

Key Features

• Apply a minimum-sufficient-loop framework, adding complexity only when measurable failures justify it
• Connect agentic AI architecture with organizational design and verified-outcome economics
• Build reliable loops with independent verification, protected evidence, budgets, and escalation
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Define bounded completion contracts for agentic work
• Separate workers from verifiers using external evidence
• Persist intent, state, lessons, and checkpoints outside model context
• Design retry, resume, rollback, and budget policies
• Protect specifications, verifiers, and authorization policies
• Choose between fresh-context loops and full orchestration
• Measure cost per accepted outcome instead of token usage
• Design human-escalation policies for reliable autonomy

Who this book is for

Engineering leaders evaluating or scaling agentic development workflows, senior software engineers and architects designing AI-agent control systems, and platform and developer-experience engineers building internal AI infrastructure. AI, risk, security, and governance specialists working in controlled or regulated environments will also benefit. Familiarity with software engineering principles and AI-assisted development workflows is recommended.

The Anthem Beckett Studies Reader, edited by S. E. Gontarski, is an indispensable guide to the restless, rigorously inventive field of Beckett studies—one that mirrors Samuel Beckett's own refusal of settled meanings and stable forms. Bringing together landmark essays and influential critical interventions, this collection maps the evolution of Beckett scholarship across literature, theater, media, philosophy, and performance, revealing how Beckett's work continues to unsettle interpretive habits and disciplinary boundaries alike.

Develop practical data architecture skills for modern data platforms and learn how to build governed, reliable, and scalable systems while aligning technical choices with organizational goals and operational requirements

Key Features

• Evaluate architecture options using structured reviews and decision frameworks
• Build governed, reliable data platforms with clear ownership and accountability
• Apply architecture patterns to solve real-world business and operational challenges

Book Description

What you will learn

• Assess architecture options using practical decision frameworks
• Align technical designs with business priorities and operational constraints
• Choose suitable models for relational, NoSQL, and columnar data
• Design reliable batch, streaming, ETL, and ELT pipelines
• Compare warehouses, lakes, lakehouses, mesh, and fabric patterns
• Apply governance, quality, security, and ownership principles
• Use decision frameworks to review and improve data platforms

Who this book is for

Data Architecture for Data Engineers is for data engineers who want to expand beyond implementation and contribute to architecture, technical strategy, and platform design. It is ideal for professionals working with platforms, pipelines, databases, analytics, or cloud services who want to understand how systems are planned, governed, and evolved. Readers should know basic data engineering concepts, SQL, and cloud fundamentals. It also benefits aspiring data architects, analytics engineers, BI developers, analysts, software engineers, and technical managers seeking practical design guidance.

Description
Enterprise AI has moved out of research notebooks into production, running on cloud infrastructure that demands a specialized multi-cloud strategy. This book is your definitive architectural roadmap to designing, building, and operating production-ready artificial intelligence solutions across Microsoft Azure, AWS, and Google Cloud Platform without vendor lock-in.

This book systematically covers the complete multi-cloud AI lifecycle across twelve detailed chapters. It begins with core infrastructure—GPU compute, petabyte-scale storage, private subnets, and SRE resilience—then layers on Zero Trust identity, enterprise governance, and cost management alongside LLM inference optimization. It moves through a managed platform overview comparing Azure OpenAI, AWS SageMaker, and Google Vertex AI, leading directly into hands-on model development, feature engineering, and AutoML pipelines. Later chapters cover domain-specific architectures for enterprise vision, natural language, and predictive forecasting, along with no-code/low-code tools like Power Automate and Textract.

By the end of this book, you will be able to design AI systems that are fast, affordable, governed, and resilient, and to defend every architectural choice with evidence rather than vendor claims.

Description
While most resources treat vision and language as separate domains, the future of AI demands their seamless integration. Vision Language Models (VLMs) represent the frontier of AI, revolutionizing industries from healthcare to autonomous systems, but implementing them remains a complex challenge. This includes integration challenges, deployment complexity, and real-world performance issues. This book helps you move from theoretical AI concepts to production-ready systems.

This book takes you from foundational concepts to deployed, scalable VLM systems through real-world projects across five industries. You will explore the complete development lifecycle from data preprocessing and model architecture to optimization techniques and production deployment strategies. Designed around practical application, every chapter provides battle-tested solutions, complete code implementations, and adaptable architectural patterns that work in live environments. The book will help you build the multimodal AI applications that will define the next decade of technology.

By the end of this book, you will possess the practical skills and architectural expertise needed to build, scale, and manage production-ready Vision Language Models safely and effectively across any domain.

Use Siri AI to find information, create useful content, organize work, automate routines, and manage everyday life across iPhone, iPad, and Mac

Key Features

• Follow short visual lessons with readable screenshots, guided activities, and clear results
• Create personal Shortcuts and Safari tools simply by describing what you want
• Complete real work and family tasks with privacy checks before important actions

Book Description

What you will learn

• Set up Siri AI and use it confidently across Apple devices
• Ask naturally and improve results through follow-up requests
• Find information, messages, photos, notes, and files faster
• Create polished emails, documents, summaries, and presentations
• Organize meetings, family plans, routines, and weekly priorities
• Build useful Shortcuts without learning automation or coding
• Create Safari research tools and reduce repeated work
• Use privacy checks before important actions or sharing data

Who this book is for

This book is for professionals, managers, consultants, freelancers, educators, small-business owners, students, families, and everyday Apple users who want to save time, stay organized, and use Siri AI more effectively at work and at home. Readers should be comfortable using an iPhone, iPad, or Mac, but no experience with AI, automation, Shortcuts, or programming is required. Some lessons require an Apple Intelligence-compatible device, and the availability of individual features may vary by device, region, language, and software version.

Build AI agents across Copilot Studio, Microsoft Foundry, and Agent Framework, from tenant setup and deployment to multimodal assessment, code-first workflows, evidence-based decisions, and production architecture choices

Key Features

• Build grounded, multimodal, and multi-agent solutions across three Microsoft agent tiers
• Evaluate, secure, publish, and monitor agents using production-focused workflows
• Implement durable human-in-the-loop orchestration with checkpoints and auditable decisions

Book Description

What you will learn

• Choose the right Microsoft agent tier for each workload
• Ground agent responses in Dataverse and business data
• Evaluate grounded responses and identify failure cases
• Secure and publish agents with sign-in and entitlement checks
• Build multimodal agents with structured JSON outputs
• Design code-first multi-agent workflows with shared state
• Add durable human approval with checkpoints and audit trails

Who this book is for

This book is for solution architects, AI engineers, developers, technical consultants, and Microsoft platform professionals who need to take agentic solutions beyond prototypes. It is especially useful for readers working across Copilot Studio, Microsoft Foundry, and Microsoft Agent Framework who need to make architecture, security, evaluation, orchestration, and human-oversight decisions. Familiarity with Microsoft cloud services and application development will help readers get the most from the code-first sections.

Build a secure control plane for agentic AI with design patterns for bounded autonomy, least privilege identity, trusted context, governed memory, and runtime recovery

Key Features

• Design a security control plane for long running agents and delegated multi-agent work
• Contain prompt injection and memory poisoning through enforceable trust boundaries
• Use HarnessLab scenarios to connect design patterns with observable control decisions

Book Description

What you will learn

• Set autonomy budgets and risk based human approval gates
• Scope agent identities, credentials, and delegation chains
• Bind tool authority to intent and detect goal drift
• Contain prompt injection and govern persistent memory
• Use decision traces and evals to govern agent improvement
• Steer live runs and enforce fleet and data boundaries

Who this book is for

For AI engineers, security architects, platform teams, and technical leaders designing or governing long running agentic AI systems. Researchers and graduate students will also benefit from its pattern based treatment of agent security and control. Familiarity with LLM applications, tool calling, access control, and distributed systems is recommended. The book supports readers moving from agent prototypes to accountable enterprise operations.

Description
Microsoft Power Automate helps organizations reduce manual effort, improve consistency, and connect systems with minimal code. As automation adoption continues to grow, organizations increasingly require solutions that are secure, reliable, scalable, and aligned with business objectives.

This book covers cloud flows, desktop automation, and business process flows, with their practical implementations. This includes expressions and Power Fx, using AI Builder and Copilot to build intelligent automation solutions, along with advanced Power Automate Desktop techniques. It also covers integration patterns using APIs, databases, Python, and custom connectors, as well as credential management using Azure Key Vault and CyberArk. Operational topics such as monitoring, troubleshooting, governance, and deployment pipelines are also addressed. Throughout the book, practical examples and design considerations are drawn from real-world project scenarios.

By the end of the book, you will have a clear understanding of how to design, build, deploy, and manage automation solutions that hold up in production environments. The book is suitable for beginners, automation developers, business analysts, Power Platform professionals, and solution architects.

Streamline marketing, sales, research, and reporting with Claude through structured prompting, reusable Skills, and Cowork automation

Key Features

• Turn research, marketing, and sales tasks into repeatable Claude workflows
• Build reusable Claude Skills for consistent business documents and reports
• Automate file and document tasks with Claude Cowork

Book Description

What you will learn

• Write structured prompts for reliable business outputs
• Research markets and competitors to guide decisions
• Plan marketing campaigns and content across channels
• Create prospecting and sales communication workflows
• Develop consistent brand and visual content with Claude
• Build reusable Claude Skills for recurring business tasks
• Automate document and file workflows with Claude Cowork
• Analyze business data and audit spreadsheets with Claude

Who this book is for

Marketers, sales professionals, consultants, analysts, entrepreneurs, and operations teams who want to replace one-off AI prompts with repeatable workflows for research, content, customer communication, and reporting. No coding experience is required for the core examples; advanced integrations and design or code-based workflows may require additional tools and setup.

Written by the author of the best-selling "Blender for Beginners" book, this second volume continues the Victorian city from Part 1, adding new buildings, hero assets, interiors, scene refinement, and the final render Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Continue the Victorian city from Part 1 with new shops, townhouses, a tower, and a vintage truck
• Develop detailed exteriors and interiors while refining materials, architecture, and hero assets
• Bring the full environment together with scene finishing, visual storytelling, and a polished final render

Book Description

What you will learn

• Build and detail a Victorian butcher shop with a complete exterior
• Model and texture a vintage truck as a hero environment asset
• Create a detailed perfume shop with exterior and interior elements
• Construct Victorian townhouses with consistent architectural styling
• Build and texture a landmark Victorian tower
• Refine materials, facades, interiors, and architectural details
• Integrate major assets while maintaining visual consistency across the scene
• Finish the complete environment and produce a polished final render

Who this book is for

This book is for aspiring environment artists, 3D artists, game artists, Blender users, and digital creators continuing the Victorian city project from Part 1. It is suitable for beginners and intermediate users who want to strengthen their skills in complex asset creation, exterior and interior detailing, texturing, scene refinement, and final rendering for games, animation, visualization, or portfolio work. Familiarity with Blender's interface and the project built in Part 1 is recommended.

Description
Agentic AI represents the next major paradigm shift in artificial intelligence, moving from passive text generation to autonomous systems that reason, collaborate, and execute complex workflows. This book is your hands-on roadmap for bridging the gap between AI theory and building self-directed, real-world intelligent agents.

This cookbook pairs clear principles with more than eighty hands-on recipes. It builds the foundations of agentic AI and the MCP and A2A protocols, then tours the major frameworks: LangChain and LangGraph, the Microsoft Agent Framework, and CrewAI. It covers single-agent design and recipes, multi-agent communication patterns, and twenty multi-agent systems, then takes agents into the enterprise across procurement, HR, legal, sales, and finance, with a plane-based deployment architecture, security and threat modeling, and the governance, trust, and ethics that autonomy demands. It targets production-grade enterprise applications across procurement, legal, HR, finance, IT, and sales, while mastering containerization, API gateways, state scaling, prompt injection defense, RBAC, command sandboxing, and governance frameworks.

By the end of this cookbook, you will possess the practical skills to confidently design, build, and deploy secure, scalable, and collaborative agentic AI systems ready to solve complex enterprise challenges.

Description
Data breaches and centralized control have fractured digital trust. This book bridges that gap by exploring self-sovereign identity (SSI), decentralized identifiers (DIDs), and zero-knowledge proofs (ZKPs) as approaches to digital identity, privacy, and trust.

Beginning with the evolution of digital identity systems, the book establishes SSI principles, trust models, and decentralized identity before moving into DID methods, verifiable credentials, verifiable presentations, and DID authentication. It then builds the foundations of ZKPs through cryptographic foundations and proof systems, progressing to zk-SNARKs, zk-STARKs, circuit development using Circom and snarkjs, and advanced techniques such as recursive proof composition, lookup arguments, folding schemes, and ZK-rollups. The book then brings DIDs and ZKPs together through privacy-preserving credentials, selective disclosure, predicate proofs, and practical protocols.

By the end of this book, you will be fully equipped to architect, code, and deploy production-grade, privacy-preserving identity solutions, transforming how your organization manages trust, user privacy, and compliance.

Description
GitHub Copilot has rapidly evolved from a code-completion assistant into a practical engineering collaborator that spans the entire software development lifecycle. As teams face pressure to ship faster without sacrificing quality or security, mastering Copilot effectively has become a core professional skill for modern software teams.

This book takes readers from Copilot fundamentals and role-based usage into hands-on implementation across backend, frontend, design documentation, testing, and application security. It expands into databases, data science, machine learning, infrastructure, and configuration management, CI/CD automation, serverless systems, and structured debugging. It then tackles real-world challenges: migrating legacy frameworks, advanced workflow customization, extending Copilot through the CLI and IDE integrations, ethical usage, and agentic workflows across the GitHub platform.

By the end of this book, readers will be able to build a repeatable, Copilot-enabled workflow that improves development speed, code quality, and delivery confidence, combining AI acceleration with sound engineering judgment, security discipline, and responsible usage.

<p>Eye-catching graphics for social media, websites, presentations, and documents used to need a professional designer. Not any more!</p><p>With Canva, anyone can turn ideas into polished designs, and <strong>Design with Canva in easy steps</strong> shows you how. It explains Canva interface and features (online version and the mobile app), shows how to use built-in AI to speed up your work, and covers design principles that make the difference: </p><li>Pairing fonts and using color well</li><li>Headings, white space, and alignment</li><li>Visual hierarchy and logical content flow</li><li>Consistent and impactful branding</li><p>Dedicated chapters on social media, websites, photo and video editing, presentations, documents, and even spreadsheets take you through complete projects from start to finish. </p><p><strong>Take control of all your design needs – for business or for personal projects! </strong></p>

Description
Cybersecurity today relies on secure, scalable, and intelligent data engineering to combat increasingly sophisticated cyber threats. This book demonstrates how to build cloud-native security data pipelines on Microsoft Azure, equipping cybersecurity, cloud, and data professionals with the skills needed to design resilient, enterprise-ready security solutions.

This book provides a practical, end-to-end guide to building secure, scalable, and intelligent security data pipelines on Microsoft Azure. The book bridges the gap between cybersecurity and data engineering by covering the complete lifecycle of security data—from collection and transformation to storage and future trends. Each chapter combines real-world architectures and best practices to help readers design enterprise-grade cybersecurity solutions.

By the end of this book, you'll have the hands-on expertise and knowledge to design, build, secure, automate, and optimize enterprise-grade cybersecurity data pipelines. You'll be equipped to implement modern security data engineering solutions, improve threat detection and incident response, and confidently support cloud-native security operations in real-world enterprise environments.

Description
Large language models have rapidly transformed artificial intelligence, natural language processing, and modern machine learning, making them essential tools for modern software development. This book is your practical roadmap to understanding these technologies and building intelligent, real-world AI applications.

This book systematically covers the essential concepts needed to build, scale, and secure intelligent systems. It begins with the foundations of large language models, scaling laws, ethical considerations, and developer tools like LangChain, LlamaIndex, and Ollama. Next, it guides you through prompt engineering, reasoning techniques, and semantic vector search using custom embeddings. You will then learn how to design advanced retrieval-augmented generation (RAG) systems with vector databases like ChromaDB, FAISS, and Weaviate, alongside conversational memory and evaluation frameworks. Finally, the book covers autonomous AI agent orchestration, multimodal models such as GPT-4o and LLaVA, cloud-to-edge deployment, optimization techniques like LoRA and quantization, prompt security, and emerging standards such as the model context protocol.

By the end of this book, readers will be well-equipped to design, deploy, and secure production-grade AI systems, possessing the practical skills required to solve complex real-world engineering challenges. They will learn to build scalable, secure, and trustworthy LLM applications for academic, industrial, and entrepreneurial settings.

Description
Enterprise AI is moving beyond text to systems that can understand images, documents, video, and language together. Vision-language models make this possible, but most real-world problems are not solved by models alone. They require well-designed pipelines, data flows, and integration with business systems.

This book focuses on building those systems end-to-end. It covers the foundations of visual and language representations and moves into modern multimodal models. From there, it discusses visual reasoning, visual question answering, and multimodal retrieval. You will work with real code using frameworks such as PyTorch, Hugging Face, OpenCV, YOLO, and learn how to combine vision encoders and retrieval layers into a single workflow. As the book progresses, it focuses on full system design. You will build pipelines that handle data ingestion, pre-processing, model inference, and output generation. The book also covers practical aspects such as model optimization, quantization, and efficient deployment to reduce latency and cost. It explains how to integrate these components into enterprise use cases, evaluate performance, and make systems reliable and scalable.

By the end of this book, you will be able to design and implement production-ready vision-language solutions that solve real business problems.

In light of the “global society of extinction”—a term that reflects the dire trajectory of humanity’s ecological footprint and its profound implications for our present—there is an urgent need to reevaluate our relationships with other living entities. This book proposes a new ontological paradigm of coexistence, termed “becoming-into-others” (BIO), which delves into themes of life transformation, extinction, symbiosis, and becoming-with. It aims to explore, analyze, and bolster arguments in favor of innovative cohabitation methods with the diverse inhabitants of Earth. As the world faces escalating species extinction, increasing urbanization, reduction of habitats, and widespread pollution, engaging in continuous thought and action toward planetary regeneration becomes imperative. This requires rethinking potential connections and fostering interconnections to enhance coexistence among all life forms. Thus, the ontological framework of BIO must evolve to embrace a more inclusive concept: the emergence of “others coming into being.”

Get better insights from time-series data and become proficient in building models with real-world data

Key Features

• Explore time series forecasting and time series analysis in Python using ARIMA, SARIMA, GARCH, gradient boosting, and recurrent neural networks.
• Improve predictive modeling with feature engineering and forecasting machine learning techniques.
• Apply demand forecasting and financial forecasting methods through practical case studies and real-world datasets.

Book Description

What you will learn

• Apply classical time series models such as ETS, ARIMA, and Theta
• Validate with SMAPE, MASE, RMSSE and rolling window, and walk-forward
• Forecast as regression with sktime, darts, mlforecast, and skforecast
• Use modern deep learning like LSTMs, DLinear, TSMixer, and TimesNet
• Grasp foundation models such as TimesFM, OpenTSLM, or Chain-of-Charts
• Quantify uncertainty quantification with conformalized regression
• Set up feature stores, MLflow, and monitoring and scaling strategies
• Handle classification, drift, spatiotemporal and irregular time series

Who this book is for

This book is ideal for data analysts, data scientists, and Python developers who want instantly useful and practical recipes to implement today, and a comprehensive reference book for tomorrow. Basic knowledge of the Python Programming language is a must, while familiarity with statistics will help you get the most out of this book.

Model software architecture with C4, connected viewpoints, and perspectives. Create clear architecture diagrams, document decisions, and communicate design trade-offs.

Key Features

• Model software architecture across structure, behavior, data, and deployment using C4 and complementary notations
• Combine the C4 model, viewpoints, and perspectives to assess design trade-offs
• Document architecture decisions and model a marketing system using seven viewpoints
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Create connected software architecture diagrams
• Choose appropriate C4 levels for different audiences
• Model all seven architecture viewpoints
• Apply perspectives to examine cross-cutting trade-offs
• Document architecture decisions and maintain models
• Use views to communicate system design decisions
• Model a marketing system using a viewpoint-based method

Who this book is for

For software architects, engineers, technical leads, engineering managers, and developers moving into architecture work. Consultants, product owners, business analysts, and CTOs who need to understand or communicate system structure and design decisions will also benefit. A basic understanding of software systems is enough; no prior modeling experience is required.

This book investigates the potential of racist public discourse to harm racialized individuals. In tackling this, this book uses multiple theoretical frameworks and data sources to highlight the need to pay attention to how we regulate racist public discourse. The first theoretical framework, Critical Race Theory, provides the foundation to look at the ways in which racist ideologies are the bedrock of post-colonial society, which created the conditions for racist public discourse. The second framework, Sociology of Knowledge, serves as a methodological framework to demonstrate how racialized knowledge is gained and transmitted to allow for the construction of racist discourse. By combining these two frameworks to investigate the consequences of racist public discourse, this book presents theoretical and empirical evidence to suggest the need to rethink the definition of harm as it pertains to racist public discourse. This topic is important given the heightened public discourse around race in social and political arenas where, increasingly, individual rights to freedom of expression are seen as being more fundamental than the impact of language upon marginalized groups. My hope is to add to the growing body of work that sheds light on the impact of harmful public rhetoric, to bring awareness of the harm caused, and highlight the need to regulate hateful racist speech.

Description
Artificial intelligence and quantum computing are reshaping the digital enterprise, creating unprecedented opportunities while introducing new cybersecurity, privacy, governance, and resilience challenges. As organizations become increasingly AI-native, establishing trust across people, data, applications, infrastructure, and decisions has become a strategic imperative.

This book presents a practical framework for securing the post-quantum, AI-native enterprise. The chapters explore the foundations of enterprise trust and cybersecurity; AI security, governance, and responsible AI; privacy and regulatory readiness; cloud, data, and application security; emerging quantum threats and post-quantum readiness; and trust-driven architecture, governance, and enterprise decision-making. Each chapter connects technology with business risk, providing practical insights, frameworks, and actionable approaches for building resilient and trusted digital enterprises.

By the end of this book, leaders and practitioners will be better equipped to assess cyber and AI risks, design trusted enterprise architectures, strengthen privacy and governance, prepare for quantum-era threats, and make informed trust decisions. Readers will gain a strategic mindset and practical skills to build, govern, and continuously strengthen trust across every enterprise transaction.

Description
A few years ago, generative AI was a novelty. Today it sits inside the products we use every day. The systems we ship now are probabilistic, which means the same input does not always produce the same output. That single shift changes how users decide what to trust, how they recover from mistakes, and how much control they feel they have.

This book is a practical, design-first guide to building AI products that people can understand, trust, and direct. It covers foundations and mental models for probabilistic systems, followed by a library of interaction patterns for inputs, outputs, explainability, steerability, recommendations, memory, agents, multimodal experiences, and high-stakes domains like healthcare and finance. It also explores practical approaches to delivery, including prototyping with live models, scaling patterns through a design system, handing off to engineering, and where the field is heading next. Case studies are drawn from Spotify, GitHub Copilot, Perplexity, and other widely used products.

By the end, you will have the frameworks, checklists, and handoff templates to design, prototype, and evaluate AI features with confidence, collaborate well with engineering and data science, and ship products that are not only technically advanced but also ethical, accessible, and centered on human needs.

Build an AI-native finance function that can govern, automate, and scale by designing the data foundations, controls, audit trails, and human accountability every finance agent needs

Key Features

• Build the data and governance foundations required for finance AI
• Apply agentic AI across FP&A, close, tax, AP/AR, and treasury
• Design human oversight, audit trails, and controls before scaling AI

Book Description

What you will learn

• Prepare finance data and processes for agentic AI
• Define human authority before deploying autonomous agents
• Build auditable decision trails for finance AI
• Apply AI agents to close, FP&A, tax, and AP/AR
• Introduce agentic AI into treasury and spend management
• Establish ownership, escalation paths, and governance
• Build finance systems that improve with every cycle
• Prove AI outcomes before scaling across the organization

Who this book is for

This book is for CFOs, controllers, VPs of Finance, FP&A leaders, finance transformation leaders, and senior finance professionals responsible for introducing AI into the finance function. It is particularly relevant to leaders moving beyond AI pilots toward governed, production-ready agentic workflows. No AI development or programming experience is required.

This book presents workflows – combinations of digital processing steps based on knowledge engineering – to address complex problems in the agrifood and bioproduct industries. These workflows enable the collection, organization, sharing, linking, and updating of various sources: expert opinions, experimental data, and stakeholder preferences. The main methodological challenge is the extraction, representation, and integration of imperfect data for reusing in tasks such as learning, prediction, and decision support.

Knowledge engineering, a branch of AI, provides the methods and tools needed for expertise formalization, automated reasoning, and supported decision-making. The book builds on the work of the INRAE ICO team at the IATE research unit (Montpellier, France) and the INRAE CATI DIISCICO network, which were awarded the Open Science Research Data Award 2023 by the French Ministry of Research. This research results from a long-term collaboration with experts from the INRAE TRANSFORM division and their partners.

The workflows are implemented in innovative tools for capitalizing and processing data/knowledge; applied to specific agrifood sector issues; and intended to support collective decision-making. They are illustrated with concrete cases, such as the design of biodegradable packaging composites, the selection of food product packaging, and technological recommendations for cheese quality.

The book details the methodologies and tools based on the generic nature of the approaches to ensure their durability, independent of technology, while also providing open resources (software, datasets, ontologies, thesauri) so they can be reused or adapted to other contexts.

Description
ServiceNow provides many out-of-the-box products to digitalize and transform your business. ServiceNow platform has a distinct advantage as an application platform as a service (aPaaS). It can swiftly customize out-of-the-box solutions or build custom applications. These capabilities enable developers to build connected solutions for their unique business needs. The platform also provides native AI capabilities to accelerate application development and enrich the end-user experience.

The book starts with a basic introduction to the ServiceNow platform and administration capabilities. Then it covers low-code development and progresses through advanced scripting concepts. Towards the end, you will get an overview of the native AI features, external version control, and modern development capabilities.

By the end of this book, you will turn into a ServiceNow development wizard and gain knowledge to develop and customize ServiceNow applications. The concepts will also help you prepare for relevant ServiceNow certifications. You will be amazed by the platform's full-stack development capabilities.

Description
C# enables developers to build performant, secure, scalable applications using the .NET runtime. Understanding the underlying runtime and performance-oriented features of modern C# helps developers create applications that are fast, responsive, concurrent, maintainable, and reliable.

This new edition provides an inside perspective on modern C# and the .NET runtime, beginning with the CLR, managed heap, and garbage collection. It then covers control structures, object-oriented design, arrays, generic collections, properties, indexers, tuples, and closures. In this new edition, readers will learn performance-oriented constructs such as span and memory, along with exception handling, regular expressions, and cryptography. The book further explores delegates, events, reflection, attributes, expression trees, asynchronous programming, parallel programming, multi-threading, LINQ, and lambdas for building responsive and concurrent systems. It also covers Visual Studio IDE and Visual Studio 2022, and features like unsafe code, pointers, dynamic programming, preprocessor directives, and new lock type semantics.

By the end of this book, readers will be able to write clean and maintainable C# applications. They will also be able to use advanced C# features for production-oriented development.

Turn financial information into actionable business insights using statement analysis, budgeting, forecasting, KPIs, and AI-supported decision-making.

Key Features

• Interpret financial statements and assess business performance with confidence
• Build budgets, forecasts, and cost analyses to support informed decisions
• Apply KPIs, financial analytics, and AI to generate business insights
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Interpret income statements and balance sheets
• Assess cash flow and overall financial health
• Build budgets and forecasts for financial planning
• Analyze costs, break-even points, and profitability
• Use financial analytics and KPIs to assess performance
• Apply AI to financial analysis and decision support
• Turn financial findings into business recommendations

Who this book is for

Managers, team leaders, entrepreneurs, business owners, project managers, financial analysts, aspiring FP&A professionals, and consultants who want to interpret financial information and make better business decisions will benefit from this book. It is particularly suited to non-finance professionals seeking stronger financial and business acumen. No formal finance or accounting background is required.

Design reliable agentic AI systems with explicit graph topology, controlled multi-agent orchestration, knowledge graph memory, and verifiable execution paths

Key Features

• Choose agent orchestration patterns that justify their complexity and cost
• Apply graph design through worked examples, chapter exercises, and companion code
• Test workflow paths, recovery behavior, and approval gates before agents take action

Book Description

What you will learn

• Choose when to keep an agent loop or introduce a graph
• Design typed state, routing, parallel fan-out, and joins
• Compare agent runtimes for orchestration and persistence
• Build knowledge graph memory with typed, traceable facts
• Operate workflows with checkpoints, retries, and idempotency
• Verify execution paths, permissions, and human approval gates

Who this book is for

This book is for AI engineers, LLM application developers, software architects, and platform engineers building agent workflows beyond the prototype stage. Security engineers will also benefit from its treatment of agent identity, authorization, and approval boundaries. Familiarity with Python, LLM applications, and software architecture will help you engage with the code examples and exercises.

Description
ISO 9001 remains the world's leading quality management standard, yet many organizations struggle to move past basic compliance into true strategic value. As enterprise software, digital transformation, and business strategies evolve, quality systems must adapt to ensure operational consistency. This book turns rigid standards into a practical, business-aligned framework for long-term organizational success.

This book guides you step by step through building, running, and modernizing a complete quality management system. You will begin by exploring ISO 9000 fundamentals, evolution, and core principles, then reframe ISO 9001 as a strategic business system. You will learn to assess organizational context, map interested parties, manage risks, establish leadership governance, and design lean processes with balanced documentation. You will also learn to address nonconformities through root cause analysis, corrective action, and continual improvement while integrating digital tools, data-driven workflows, and automation. Finally, you will master audit readiness, avoid common audit failures, and sustain certification long-term.

After completing this handbook, you will possess the practical expertise to design, implement, and maintain a resilient ISO 9001 system that reduces operational risk, improves business performance, and drives sustainable enterprise growth.

Description
Data science has become a key technology in the digital era and has applications in all industries ranging from health, finance, and retail to high-tech. As organizations face increasing competition in a technology-driven market, they are turning to data-driven approaches to tackle real-world problems. As the volume of available data continues to grow, so too does the array of tools for processing it, including popular languages like R and Python.

This book guides readers through the entire data science workflow using both R and Python. The book first introduces readers to setting up the right environment and the basic programming skills needed for the data science workflow. It also covers data wrangling and cleaning, exploratory data analysis, and data visualization to gain insights and communicate findings. Finally, you will learn the basic statistical modeling concepts, including probability distributions, hypothesis testing, and simple regression analysis. This book goes beyond the basics and covers machine learning. It covers key elements of R and Python, including syntax, data manipulation and visualization, essential statistical functions, and machine learning packages. It uses real-world data science problems as examples of how to apply these concepts.

By the end of this book, you will be able to analyze data, program in R and Python, and effectively present results using real-world scenarios.

Master performance optimization in Unreal Engine 5 with over 60 expert recipes covering profiling, rendering, memory, and platform-specific tuning used by professional game studios Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Identify and eliminate CPU/GPU bottlenecks using UE5 profiling tools and CI automation
• Tune Nanite, Lumen, and Virtual Shadow Maps for stable framerates without sacrificing quality
• Scale gameplay, AI, physics, and streaming to hit performance targets on every target platform

Book Description

What you will learn

• Master frame-time budgeting and CPU/GPU bottleneck analysis
• Profile real performance data using Unreal Insights and GPU Visualizer
• Tune Nanite, Lumen, and VSMs for stable, high-fidelity framerates
• Refactor Blueprint logic and convert hotspots to efficient C++
• Optimize AI, physics, animation, and Niagara for CPU efficiency
• Eliminate memory hitches with streaming and async loading strategies
• Hit performance targets on consoles, PC, VR, and mobile
• Automate regression tracking and studio-wide performance workflows

Who this book is for

This book is for experienced Unreal Engine 5 developers who want to improve game performance systematically. Solo developers, programmers, and technical designers responsible for optimization will benefit. If you can build gameplay systems but struggle to identify what is slowing your project down, this book gives you a practical workflow. Readers should be comfortable with the UE5 editor, Blueprints or C++, and basic rendering concepts such as materials, lighting, and post-processing. No advanced graphics programming or engine source modification is required.

Master AI product management with 42 original frameworks and real-world case studies covering discovery, trust, launch, and scale, built specifically for probabilistic systems traditional playbooks can't handle

Key Features

• 42 frameworks, including the AI North Star Canvas and Trust-First GTM, covering discovery through scale
• Makes the case that AI product management is a distinct discipline, not a PM subspecialty
• 4-Layer Competency Stack and 2030 Role Architecture, grounded in Spotify, Netflix, and OpenAI case studies

Book Description

What you will learn

• Validate real customer pain before defaulting to AI as the solution
• Weigh value against cost using a structured AI trade-off framework
• Assess data readiness before committing to build
• Design feedback loops that continuously sharpen product performance
• Define metrics built for probabilistic, not deterministic, behavior
• Build trust and graceful recovery into every AI experience
• Launch with go-to-market strategies that earn user confidence
• Scale AI products while managing quality, cost, and model drift

Who this book is for

Written for product managers, product owners, founders, and engineering leaders in building or scaling AI-enabled products, as well as business analysts, technical architects, and consultants driving AI initiatives. Especially valuable for readers with working knowledge of conventional product management who need structured frameworks for probabilistic systems, data readiness, trust-centered design, launch governance, and responsible scaling. Also relevant for data scientists and UX leaders partnering with product teams. Familiarity with core product management fundamentals is recommended.

Captioned Landscapes' is the first comprehensive monograph on intermedial combinations between writing and natural environments. Writing is traditionally considered as a distinctive sign of the human; interrogating its interactions with the world beyond the human means questioning its presumed centrality and separateness. The multiple angles from which these combinations are studied in this two-volume anthology are relevant for questions regarding the ontologies that structure the relationships between human and non-human, as well as for questions of ideology, interculturality, memory, gender and the postcolonial. Landscape reception studies usually assume not only a distinction but also a separation between the human and the non-human, attributing the privilege of subjectivity only to the former. This dualistic paradigm has been recently replaced by intermedial ecocriticism, which conceives the relationship between human and non-human as a negotiation without rigid and pre-established roles. However, attention has been focused so far on the representations (verbal, but also visual) of these relationships. In this monograph, for the first time, instead of representations of natural environments (in writing or other media), intermedial combinations between writing and landscapes are taken into account; particular attention is also paid, in the second volume, to verbal and visual representations of these combinations. The book addresses Intermedial and Visual Studies and Environmental Humanities scholars. Because of the specific focus on combinations of writing, landscape, and verbal and visual representations of the latter, the book is also aimed at scholars of Literature, Garden and Landscape Design and History, and Visual Arts. By virtue of the case study approach in the chapters and the general theoretical framework provided in the introduction, the book also addresses students of all these disciplines.

‘Psychoanalyzing the Post-Apocalypse: Psychoanalytic Approaches to 21st Century Fiction and Film’ offers an interdisciplinary exploration of contemporary post-apocalyptic literature and cinema through psychoanalytic theory. Bringing together studies of major novels, films, and television series, the volume demonstrates how Freudian, Lacanian, Jungian, and post-Lacanian perspectives illuminate recurring themes such as trauma, desire, mourning, identity, repression, survival, and psychic renewal in worlds shaped by catastrophe. The collection distinguishes itself by applying diverse psychoanalytic frameworks to a broad range of twenty-first-century texts, including "Oryx and Crake," "The Stone Gods," "Station Eleven," "War of the Worlds," "Vesper," "The Road," "The Leftovers," and "2012". Rather than offering generalized discussions of apocalypse, each chapter provides a theoretically grounded analysis of a specific work, revealing how narratives of collapse reflect contemporary anxieties while also imagining new forms of subjectivity, ethical relations, and resilience. Positioned at the intersection of psychoanalytic criticism, literary studies, film studies, and cultural theory, the volume advances current scholarship by foregrounding the psychological dimensions of post-apocalyptic storytelling and demonstrating the versatility of psychoanalytic approaches in interpreting ecological, technological, and existential crises. It contributes an original perspective to the growing body of research on post-apocalyptic fiction by integrating multiple psychoanalytic traditions across diverse media and cultural contexts. The book will serve as a valuable resource for researchers, graduate students, and advanced undergraduates in literature, film, media, psychoanalysis, and cultural studies. It is equally suitable for classroom adoption in courses on contemporary fiction, speculative literature, adaptation, and critical theory, while offering scholars a methodological framework for future interdisciplinary research on apocalypse and the human psyche.

Build the practical Revit skills needed to create professional BIM models, drawings, schedules, and visualizations for digital construction projects

Key Features

• Build BIM skills through a complete residential project
• Create professional drawings, schedules, and 3D models
• Learn industry workflows used across architecture, engineering, and construction

Book Description

What you will learn

• Understand digital construction and Revit's role in the industry
• Gain confidence in navigating and using Revit's key functions
• Model walls, floors, stairs, roofs, and other building elements
• Learn worksharing, linked models, exports, and file management
• Create custom parametric families and apply materials
• Control 2D and 3D views consistently with view templates
• Create sheets, manage revisions, print PDFs, and export DWGs
• Export IFC and NWC files and explore XR workflows

Who this book is for

Architects, engineers, and drafters at the beginning of their careers who want to learn foundational Revit 2026 skills for digital construction. No previous knowledge or experience with Revit or other 2D/3D software is required, although basic knowledge of construction drafting or 3D modeling will be beneficial.

Move agentic AI from clever demos to reliable production with the principles, patterns, and practices behind multi-agent systems at scale.

Key Features

• Build production-ready agents and multi-agent systems with hands-on Python examples
• Apply foundational principles, proven design patterns, and orchestration strategies
• Evaluate, observe, scale, and evolve agent systems through real-world case studies
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Apply foundational principles to design production-ready agents
• Design agent communication, routing, and collaboration flows
• Orchestrate teams with proven multi-agent design patterns
• Manage memory, retrieval, and context across agent teams
• Evaluate, red-team, and benchmark agent system behaviors
• Deploy and scale multi-agent systems in production
• Instrument agents with OpenTelemetry-based observability
• Evolve and improve agent systems safely in production

Who this book is for

If you are an AI engineer, ML practitioner, software architect, or technical leader who wants to move beyond agent demos and ship multi-agent AI systems that work in production, this book is for you. By the end, you will be able to design, deploy, evaluate, and continuously improve agentic systems with confidence. It is equally valuable for engineering and product managers making informed decisions about agentic AI architecture. Readers should be comfortable with Python and have basic familiarity with LLMs; deep ML expertise is not required.

Written by the author of the best-selling "Blender for Beginners" book, this first volume shows you how to plan, model, texture, and populate a Victorian city in Blender 5, laying the groundwork for the full environment in Part 2 Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features

• Build a cohesive Victorian city using practical environment art workflows in Blender 5
• Create detailed architecture, signage, props, and reusable assets that bring the street to life
• Develop a scalable scene-building workflow that continues into the complete environment in Part 2

Book Description

What you will learn

• Plan environments with references, scale, and composition
• Build modular Victorian architecture with consistent proportions
• Texture architectural elements for a cohesive period-inspired look
• Design entrances, windows, balconies, roofs, storefronts, and signage
• Develop hero locations such as a bookstore and library
• Use props, street furniture, and reusable assets to add story and detail
• Expand a complex city scene while maintaining visual consistency
• Produce an early render and prepare the environment for completion in Part 2

Who this book is for

This book is for aspiring environment artists, 3D artists, game artists, Blender users, and digital creators who want to build detailed architectural scenes. It is suitable for beginners and intermediate users looking to strengthen their skills in scene planning, modular modeling, texturing, asset placement, and visual storytelling for games, animation, visualization, or portfolio work. Basic familiarity with Blender's interface and navigation is recommended, no prior environment art experience is required.

Build, test, and deploy production-ready Flutter apps for mobile, web, and desktop, while adding AI features using ML Kit, Gemini, and agentic workflows

Key Features

• Integrate ML Kit and Gemini APIs to build AI-powered features into your Flutter apps
• Cover state management, architecture, testing, and debugging for production-ready apps
• Build and deploy cross-platform apps for mobile, web, and desktop from one codebase

Book Description

What you will learn

• Build apps for iOS, Android, web, and desktop
• Add AI-powered features using ML Kit and Gemini APIs
• Build agentic apps with agent loops, multi-agent routing, and MCP tool use
• Manage application state with Provider and Riverpod
• Handle asynchronous programming with Future and Stream
• Integrate Firebase for authentication, storage, and ML capabilities
• Structure apps using layered architecture patterns
• Write unit, widget, and integration tests for Flutter apps
• Deploy to the App Store and Google Play, and deliver over-the-air updates without a store release

Who this book is for

This book is for developers who want to build production-ready Flutter applications and need solutions to real cross-platform challenges. Beginners with coding experience in JavaScript, Swift, Kotlin, Java, Objective-C, or C# will find clear, recipe-driven guidance from first principles. Experienced mobile and web developers will benefit from architecture patterns, testing strategies, and AI integration techniques that reflect current production practices. No prior Flutter or Dart experience is required.

How do we build real solidarity in times of crisis?

Written by grassroots organisers from besea.n, Britain’s East and South East Asian Network, this book centres the voices of East and Southeast Asian (ESEA) communities in the UK and explores what collective organising can look like beyond isolated anti-racism efforts.

Through personal stories and interviews, it examines identity, representation, migration, activism, and the barriers that have made community-building difficult. By connecting past and present struggles, it calls for stronger, shared action and a more inclusive conversation about solidarity in Britain today.

Written for activists, students, and anyone interested in community organising and anti-racism, this book offers a powerful call to move forward together.

This book provides a comprehensive introduction to spectroscopy, covering its origins and development, as well as the fundamentals of atomic and molecular spectroscopy. It then examines 11 representative spectroscopic techniques, including laser-induced breakdown spectroscopy (LIBS), Raman spectroscopy, and infrared spectroscopy, with detailed coverage of their principles, experimental systems, and advanced applications. The book further explores the integration of multiple spectroscopic techniques in materials science, environmental science, and industrial production, highlighting the advantages of multimodal approaches over individual techniques. It also examines the integration of machine learning and artificial intelligence with spectroscopy and presents a series of spectroscopic simulation projects based on recent research. The book concludes with an outlook on emerging trends and future technological developments in spectroscopy.

The book is a valuable reference for undergraduate and graduate students and university faculty in physics, optics, atmospheric sciences, and related fields. It is also suitable for researchers in optics, remote sensing, atmospheric physics, and astronomy, as well as engineers and technicians working in optoelectronics and related technologies.

We are priceless Centres on the escape of five courageous girls from sexual exploitation and slavery, which they were deceived into by people their parents and guardians trusted. The novel reminds us of how vulnerable children continue to be sacrificed on the altar of wealth via the selfish quests of adults who should protect them. It is a campaign tool for all sectors, showing the realities of human trafficking and urging Nigerians to join the fight to checkmate the menace.

Magnetism has been known to human society for thousands of years via the naturally occurred permanent magnets of magnetite (lodestone), which were first recorded in ancient Chinese books as being applied as the Afang Palace doors and the compasses more than two thousand years ago. The industrial scale production of permanent magnets, from steel magnets to rare-earth magnets, has had a history of only about a hundred years. Nevertheless, permanent magnets have become a kind of indispensable functional materials in modern society, which play essential roles in energy generation and conversion applications. Recently, with the fast development in green-energy technologies such as electric transportation, wind power generation and precision actuation, demand for permanent magnets with high energy density and high thermal stability has become unprecedently strong.

This book aims to contribute cutting-edge research progress in advanced permanent magnets. It covers a broad scope from basic theory to application technologies, and from the traditional magnets improvements to novel magnets inventions, as well as materials recycling. The main topics include fundamental coercivity mechanisms of permanent magnets, development of various advanced permanent magnets, and technologies for magnets fabrication and recycling. It contains ten chapters. Chapter 1 is an overview of the history of development of permanent magnets and perspectives of the future. Chapter 2 focuses on theoretical research of the coercivity mechanisms of permanent nanomagnets. Chapters 3-6 give the development of several kinds of advanced permanent magnets including Sm-Co magnets, ThMn12-type R-Fe-M magnets, Mn-based magnets, and nanocomposite magnets. Chapters 7-9 introduce the fabrication and modification of rare-earth permanent magnets. Chapter 10 provides the recycling of rare-earth permanent magnet wastes. The authors of the chapters are the leading researchers in the fields in China and the world.

Build production-ready Amazon EKS clusters with hands-on guidance for networking, security, observability, scaling, GenAI workloads, and cost control.

Key Features

• Build and run Amazon EKS clusters using AWS Console, AWS CLI, CDK, Terraform, and eksctl
• Secure, scale, monitor, and troubleshoot Kubernetes workloads using AWS-native services
• Deploy real-world workloads with ECR, Fargate, Karpenter, Helm, GitOps, Spark, and GenAI
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

What you will learn

• Build Amazon EKS clusters with CLI, CDK, Terraform, and Console
• Deploy Kubernetes applications using kubectl and Helm
• Configure EKS networking, CNI, IPv6, eBPF, and Cilium
• Secure clusters with RBAC, IAM, IRSA, and Pod Identity
• Run workloads with ECR, CSI drivers, Fargate, and load balancers
• Scale clusters and applications with Karpenter, KEDA, and HPA
• Monitor EKS using ADOT, CloudWatch, Prometheus, and Grafana
• Troubleshoot access, node, network policy, and Karpenter issues

Who this book is for

Cloud architects, platform engineers, DevOps engineers, Kubernetes administrators, cloud engineers, and SREs who want to build, deploy, secure, and operate Kubernetes workloads on Amazon EKS. Basic knowledge of AWS, Docker, containers, and Kubernetes concepts is recommended.

Five daily habits that reduce burnout, build engagement, and create a stronger organization, with no complex programs or HR mandates required.

Burnout is at record levels, and most leadership advice isn't solving it, because it's too complicated, it lands on HR teams who can't change daily culture, or it simply doesn't stick. This book offers something more useful: 5 simple, repeatable practices that managers, executives, and CEOs can weave into their existing routines right now, across in-person, hybrid, and AI-supported teams.

The 5 practices:

• Celebrate Someone
• Go, See, and Help
• Be Interested
• Cocreate
• Do It First

Humans like tools, and since health is one of humanity’s perpetual preoccupations, humans particularly like tools related to health. In recent decades, the digital revolution has undoubtedly been the most important development in this area. Computing systems initially introduced to make administration more efficient were soon being used to help with the diagnostic process, to find more effective treatments and to support surgical procedures, and much more. This work, Handbook on Smart Health, examines a wide range of examples of the technology being developed everywhere on our planet which concerns our health. It includes content which addresses different levels of the complex systems used to deliver health, beginning with the more general background of the area, and goes on to cover different strategies of delivery, the diverse infrastructure – hardware and software, algorithms and applications – and the interaction between technology and society. Given the gradual continuous increase in control, which brings both more benefits for our health and higher risks if something goes wrong, this use of technology is becoming increasingly controversial, and alongside the positive uses of digital tools in healthcare there have also been some catastrophic failures. All this is compounded by a legal structure constantly trying to play catch-up with innovation. 
The book addresses all these topics from various angles, providing a holistic update for a wide range of professionals, innovators and decision-makers, and documenting the foundation upon which more innovation can be created. 
This publication provides an invaluable guide to all aspects of smart health, and will be of interest to healthcare professionals and organizations working in healthcare innovation everywhere.