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Artificial Intelligence for Sustainable
Infrastructure and Environmental Systems

Artificial Intelligence for Sustainable Infrastructure and Environmental Systems

Towards 2030

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

Why the career ladder you were climbing has come apart, and what to do about it.Your job title may still be intact. The meetings continue; the monthly presentation still needs producing. But AI is already taking on the reporting, coordination, research and analysis work that once justified whole teams. The change seldom arrives with a dramatic announcement. It's more insidious than that: the hire is paused, the contractor is not renewed, the promotion evaporates.Written by someone building the tools behind this shift, The Next Rung looks at the knowledge-work middle: project leads, analysts, account managers, operations teams and managers whose jobs depend on orchestration. It traces the pressure from boardroom economics to kitchen-table arithmetic, and asks what happens when professional incomes and mortgages are exposed at the same time.Inside, you'll find: <ul> <li> The roles AI is quietly hollowing out </li> <li> Why the 'junior grind' is disappearing </li> <li> The 80/20 Collapse in professional work </li> <li> A practical audit of your exposure and runway </li> <li> The human capabilities that still matter </li> <li> Routes towards trades, portfolio work and community enterprise </li> <li> What AI's gains mean for housing, welfare and inequality. </li> </ul>This is a clear-eyed notebook from inside the transition, focused on judgement, resilience and building work with more human value. It will let you know where you stand, strengthen your options, and help you make your next move before the ladder disappears beneath you.

Why AI is breaking the career ladder, and how to find your next step

The Next Rung

Seamanship Techniques is ideal for Merchant Navy Officers from the rank of Cadet to Master Mariner, the sixth edition of this highly respected book is in full colour, and has been updated to include more information on topics as diverse as electronic navigation whilst still including essential information on multi-ship types. Subjects such as Marine Emergencies, Safety at Sea, watchkeeping duties and pollution control, are integrated throughout the work. It covers topics to international standards and works well with courses, throughout the maritime world.Seamanship Techniques will appeal to serving mariners and nautical students from cadet to master level, studying for professional marine qualifications under the International Maritime Organization as per STCW requirements. Used by seafarers and training establishments around the world, this best seller is that essential reference to both shipboard practice and ship operations that seafarers will need.

Shipboard and Marine Operations

Seamanship Techniques

This book equips AI developers, machine learning engineers, and software architects with the knowledge and tools needed to design, build, and deploy scalable autonomous agents. Beginning with foundational concepts in LLMs and agent architectures, the book transitions into hands-on design patterns and real-world implementation guidance. Readers will follow practical Python examples using cutting-edge frameworks like LangChain and AutoGen, with full reproducible code available on GitHub.
Emphasizing engineering essentials scalability, interoperability, observability, and ethics the book dives into multi-agent coordination, including emerging protocols such as MCP and A2A. It wraps up with compelling case studies from customer service bots to multi-agent analytics systems demonstrating how to build secure, stable, and trust-aligned AI agents. This guide bridges theory with practice for the modern AI practitioner.
You Will:
<ul>
<li>Discover reusable patterns such as reactors, planners, and tool-using agents that power effective autonomous systems.</li>
<li>Learn to build agents using Python with popular frameworks like LangChain and AutoGen, complete with reproducible GitHub code.</li>
<li>Dive into cutting-edge coordination mechanisms (e.g., MCP, A2A) that enable agents to collaborate and assign tasks dynamically.</li>
</ul>
&nbsp;
This book is for : Software Architects &amp; System Designers
&nbsp;

This book equips AI developers, machine learning engineers, and software architects with the knowledge and tools needed to design, build, and deploy scalable autonomous agents. Beginning with foundational concepts in LLMs and agent architectures, the book transitions into hands-on design patterns and real-world implementation guidance. Readers will follow practical Python examples using cutting-edge frameworks like LangChain and AutoGen, with full reproducible code available on GitHub.Emphasizing engineering essentials scalability, interoperability, observability, and ethics the book dives into multi-agent coordination, including emerging protocols such as MCP and A2A. It wraps up with compelling case studies from customer service bots to multi-agent analytics systems demonstrating how to build secure, stable, and trust-aligned AI agents. This guide bridges theory with practice for the modern AI practitioner.You Will:<ul><li>Discover reusable patterns such as reactors, planners, and tool-using agents that power effective autonomous systems.</li><li>Learn to build agents using Python with popular frameworks like LangChain and AutoGen, complete with reproducible GitHub code.</li><li>Dive into cutting-edge coordination mechanisms (e.g., MCP, A2A) that enable agents to collaborate and assign tasks dynamically.</li></ul>&nbsp;This book is for : Software Architects &amp; System Designers&nbsp;

Architecting Scalable, Ethical, and Trustworthy Systems for Enterprise

Agentic AI Systems in Practice

The Fortuity Elements that Influence Accident Outcomes

The Safety Luck Factors

Cybersecurity Contracts is designed to give legal professionals with little or no previous experience in cybersecurity the essential knowledge needed to understand the field and develop their own expertise. Combining legal analysis with clear explanations of technical and operational concepts, the book introduces the foundations of cybersecurity practice and shows how they affect contractual relationships, risk allocation, liability, service levels, software security, identity management, communications, security testing and managed security services. Rather than offering a collection of ready-made solutions, it provides the conceptual and practical basis needed to read technical issues critically, ask the right questions and understand the consequences of contractual choices. For law firms, IT companies and academic libraries it is a practical reference at the intersection of law, technology and cybersecurity, and a structured entry point for professionals who need to work confidently across these disciplines. This title is included in Bloomsbury Professional's Cyber Law online service.

Cybersecurity Contracts Essentials

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 behavior 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

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Wiley Finance

The handbook to unleash the power of AI in Finance with guidance to pragmatically managing AI Risk Are you ready to harness the transformative potential of artificial intelligence and machine learning in finance while effectively managing the associated risks? "AI and Risk Management in Finance: A Practitioner's Handbook" by Sri Krishnamurthy, CFA, is your indispensable guide. Tailored for financial professionals, this comprehensive handbook delivers practical insights, case studies, and frameworks to navigate the complex landscape of AI and ML in the financial sector. This pragmatic handbook, developed primarily for professionals involved in designing, developing, and deploying AI models in the financial industry explores cutting-edge technologies, regulatory landscapes, and pragmatic frameworks. From generative AI to robust risk management strategies, this handbook equips you with the tools you need to validate models, ensure compliance, and operationalize AI risk management effectively. Leveraging lessons from QuantUniversity's AI and Machine Learning Risk Management program offered in 18 countries, this book focuses on enabling practitioners apply the state-of-the-art AI and machine learning techniques factoring unique risks specific to the financial services domain. Whether you're a seasoned professional or a newcomer, this book offers invaluable insights for harnessing the power of AI responsibly in the financial industry. Highlights of the Book: <ul> <li>Machine Learning and AI in Financial Services: Dive into the fundamentals of ML and AI, exploring various applications within the financial industry through real-world case studies.</li> <li>Generative AI and LLMs in Finance: Understand the emerging landscape, key players, and advanced concepts like prompt engineering and fine-tuning with practical examples.</li> <li>Risk Management for AI/ML Applications: Learn about current and emerging regulatory landscapes, AI risk management frameworks, and legislative efforts shaping the field.</li> <li>Data Governance Issues: Address critical aspects of data quality, privacy, security, and governance, with actionable frameworks and illustrative case studies.</li> <li>Model and System Governance: Gain insights into validating machine learning models, quantifying model risk, and ensuring robust system governance with MLOps and model monitoring.</li> <li>Key Risk Assessment Facets: Focus on documentation, explainability, fairness, security, and reliability with detailed case studies.</li> <li>Verification and Validation: Distinguish between verification and validation and learn frameworks for effective AI application validation.</li> <li>Algorithmic Auditing: Conduct comprehensive algorithmic audits with detailed processes and real-world examples.</li> <li>Operationalizing AI Risk Management: Discover ten essential strategies for implementing AI risk management practices effectively in your organization.</li> </ul> Prepare for the future of finance with expert advice and actionable strategies. Don't miss out on this comprehensive guide-your roadmap to navigating AI and risk management in the financial sector.

A Practitioner�s Guide to Machine Learning, Generative AI, Agentic Systems, and Responsible Deployment

AI and Risk Management in Finance

Build category leadership by combining community momentum, AI-enabled strategy and faster brand decision-making. Marketing at Velocity is a strategic implementation guide for senior marketing leaders who want to build brands that compound value, strengthen market position and keep earning relevance in fast-moving categories. Written by brand and marketing strategist Arnt Eriksen, who brings over 30 years of experience, this book connects proven brand-building principles with the systems shaping the next decade of growth. It translates AI, community dynamics, decentralized ownership and strategic speed into practical marketing strategy for enterprise and growth-stage organizations. Drawing on field-tested frameworks including the One Rule Formula, Velocity Loops and the Decentralized Brand Scorecard, this book equips leaders to: - Build compounding brand momentum Apply AI to improve precision - Turn community into strategic advantage - Strengthen leadership through frameworks - Implement practical actions quickly Featuring real-world examples from Nike, Adidas, Lufthansa, Starbucks and other major organizations, Velocity Marketing gives senior marketing professionals the tools to lead with confidence, accelerate learning and build brands that never stop earning their place. Themes include: brand strategy, AI marketing, community-led growth, category leadership, decentralized brands, marketing transformation

B2B Brand Building, Momentum and Category Leadership

Marketing at Velocity

Asian Arguments

Celebrated for its natural beauty and its abundance of wildlife, the Mekong river runs thousands of miles through China, Myanmar, Laos, Thailand, Cambodia, and Vietnam. Its basin is home to more than 70 million people and has for centuries been one of the world's richest agricultural areas and a biodynamic wonder. Today, however, it is undergoing profound changes. Development policies, led by a rising China in particular, aim to interconnect the region and urbanize the inhabitants. In this new and comprehensively updated edition of Last Days of the Mighty Mekong, Brian Eyler gives his first-hand account of the impact on the river of the tumultuous political period since the book's original publication. From the lockdowns of the COVID-19 pandemic and a devastating drought to the increasing political tensions and resource competition between China and Trump-era America, Eyler recounts his own increasing involvements in international efforts to protect this precious and delicate environment. Along the way he meets the region's diverse peoples, from villagers to community leaders, politicians to policy makers. Through conversations with them he reveals the urgent struggle to save the Mekong and its unique ecosystem.

What's At Stake for Southeast Asia's Great River?

Last Days of the Mighty Mekong

Artificial Intelligence for Sustainable Infrastructure and Environmental Systems

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