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Incentives and Benefits for Adopting
Green Entrepreneurship Practices

Incentives and Benefits for Adopting Green Entrepreneurship Practices

A step-by-step guide to AI-native analytics systems for BI practitioners Building Business Intelligence Apps with AI provides a step-by-step guide for data analysts, data engineers, and BI developers who need to integrate AI into their analytics workflows. Written by Ryan Dolley, a data industry veteran with fifteen years of experience across BI development, consulting, and data vendor roles, this book shows how to partner with AI to deliver better data models, dashboards, and business queries while building AI-native experiences for end users. The book addresses data foundations, outsourcing repetitive tasks to AI, and scaling autonomous analytics systems that maintain accuracy and data governance. Readers learn practical steps for increasing individual and team effectiveness using AI while avoiding common pitfalls such as hallucination, data inaccuracy, and user abandonment. It delivers operating models that data departments need, covering everything from data blending and dashboard creation to personalization and responsiveness. Readers will also find: <ul> <li>Practical techniques for partnering with LLMs to accelerate data modeling, querying, and dashboard development across BI workflows</li> <li>Strategies to outsource repetitive analytics tasks to AI while maintaining rigorous data governance and accuracy standards</li> <li>Operating models for individuals and data departments to scale AI-native analytics systems that end users adopt</li> <li>Methods for building autonomous, personalized analytics experiences that address user expectations for speed and responsiveness</li> <li>Guidance on avoiding AI pitfalls including hallucination, data inaccuracy, and user abandonment in production analytics environments</li> </ul> Data analysts, data engineers, BI developers, and their managers will find in this book the specific skills and operating models needed to integrate AI into daily analytics work. It equips practitioners to build accurate, autonomous analytics systems while strengthening data governance and accelerating delivery across their teams.

Building Business Intelligence Apps with AI

This book offers a critical discussion of the Digital Markets, Competition and Consumers Act 2024 (DMCCA), the first major legislation on competition and consumer law since the UK left the EU. Since its withdrawal from the EU after almost 50 years as a member, the UK must (re-)assume responsibility for the evolution of its competition and consumer law. Whilst the UK has yet to crystallise a coherent vision for its competition and consumer policies, the EU has already reshaped its competition and consumer law for the digital era. The DMCCA is a crucial element of the UK's emerging legal regime for the digital world, although it does not constitute the most radical possible change from what was there before. Providing the first detailed examination of the DMCCA with contributions from leading scholars, regulators, practitioners and enforcement agents, the book offers a wide variety of perspectives, including comparative, across the breadth of that far-reaching Act. The book is essential reading for anyone seeking to understand both the substance and wider impact of the new legislation.

Theoretical, Practical, and Comparative Perspectives

The Digital Markets, Competition and Consumers Act 2024

Build operational resilience that helps your organization withstand disruption, meet regulatory expectations and adapt to emerging risks.Operational Resilience in Practice is a practical guide for operational resilience, operational risk, business continuity and compliance professionals responsible for turning resilience into an effective organizational capability.Written by former regulator and experienced resilience professional Chris Knox, this book provides practical guidance across the entire operational resilience lifecycle. Drawing on interviews with leading practitioners and real-world examples, it shows how to strengthen resilience while navigating regulatory requirements, including the EU Digital Operational Resilience Act (DORA) and an increasingly complex risk landscape.Learn how to: - Define critical services and map their underlying dependencies - Set impact tolerances and strengthen resilience testing - Manage outsourcing, cloud, SaaS and concentration risks - Embed operational resilience into technology and systems architecture &gt;Covering scenario and stress testing, incident response and continuous improvement, Operational Resilience in Practice helps you build a robust resilience program that protects critical services, strengthens decision-making and enables your organization to respond and adapt when disruption occurs.Themes include: operational resilience, operational risk management, DORA, business continuity, resilience testing, third-party risk

A Guide to Framework Design and Implementation

Operational Resilience in Practice

The first analysis of how AI, robotics, and genetic engineering converge to reshape civilization Most analyses of technological disruption examine AI, robotics, or genetic engineering in isolation. A Perfect World: The Unintended Consequences of the AI, Robotics and Biotech Revolution is the first work to analyze their inevitable convergence and the societal consequences it creates. William Nobrega, a Deloitte alumnus and Army Special Forces veteran who advises Fortune 500 companies on disruption strategies, introduces what he calls the "holy trinity of disruption." Drawing on extensive research, expert interviews, and historical analysis spanning 50,000 years of human development, A Perfect World examines where these three technologies stand today and where expert consensus places them in fifteen years. Nobrega applies basic economic principles to reveal how their interaction effects will create impacts far exceeding what each technology produces independently, potentially yielding a bifurcated world. Readers will also find: <ul> <li>A framework for understanding how AI, robotics, and genetic engineering convergence will reshape industries and global labor markets</li> <li>Analysis of how genetic engineering may enable designed physical characteristics, disease elimination, and IQ augmentation within the coming decades</li> <li>Exploration of both utopian and dystopian outcomes grounded in military, corporate consulting, and academic research perspectives</li> <li>Historical parallels including examination of modern connections to Orwell's 1984 and the origins of human communication</li> <li>Analytical tools for business leaders and policymakers navigating what robotic labor replacement means for low-skilled workforces globally</li> </ul> Written for business leaders, policymakers, and informed citizens seeking to understand how the convergence of AI, robotics, and genetic engineering will transform their industries and society, A Perfect World provides the frameworks and analytical tools necessary to navigate the most consequential technological transformation in human history.

The Unintended Consequences of the AI, Robotics and Biotech Revolution

A Perfect World

Springer Proceedings in Business and Economics

This proceedings volume explores how economies can become resilient, competitive, and future-ready in an era of rapid technological change and global uncertainty. Featuring select contributions presented at the 9th International Scientific Conference on Business and Economics (ISCBE) held in Valencia, Spain in June 11-12, 2026, the enclosed chapters cover a wide range of areas relevant to contemporary business and economics issues such as digital competitiveness and economic growth, innovation-led entrepreneurship, the role of artificial intelligence and data-driven decision-making, startup and ecosystem development, digital skills and human capital, as well as policy frameworks that support future-oriented economies. In addition, the volume explores the effects of global economic tensions and intensified market competition on sustainability initiatives, offering strategic insights for navigating these multifaceted challenges. This book is an essential compass for scholars, researchers, students, academics and practitioners seeking to respond to disruptive technologies while promoting inclusive and sustainable development.&nbsp;

9th International Scientific Conference on Business and Economics (ISCBE), Valencia, Spain, June 2026

Future Ready Economies — Vol. 1

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

Contemporary Debates

Examining the Facts

Consumer Rights and Protections

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

Scaling AI Across Your Organization

From AI Users to Solution Builders

The Essential Guide to Launching Your Career in Artificial Intelligence

Break into AI

Leveraging Data Science and Machine Learning

Predictive Intelligence for Transforming Healthcare Insurance

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

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

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 is a guide to UK payments law, examining how English law and financial regulation are adapting to new forms of money and new ways of moving it. Value now passes between banks, payment service providers and distributed ledgers, and AI agents are beginning to initiate payments. For lawyers and compliance professionals, this raises fundamental questions about when a debt is discharged, who bears the loss when a payment goes wrong, and which activities fall within the regulatory perimeter.This title sets out the legal concepts of payment and money before mapping the regulatory perimeter under the Financial Services and Markets Act 2000, the Regulated Activities Order 2001, the Payment Services Regulations 2017 and the Electronic Money Regulations 2011. Later chapters provide clarity on funds transfers and settlement, card payments, open banking and payment initiation, digital wallets, strong customer authentication, unauthorised transactions and the recovery of misdirected payments, including authorised push payment (APP) fraud. Coverage of tokenised payment includes the classification of cryptoassets and their status as property. The new UK regimes for stablecoins and tokenised deposits are considered alongside the proposed digital pound. The final chapters address the protection of customer funds when a payment or e-money institution becomes insolvent. They also examine the legal questions raised by agentic payments, in which an AI agent makes payments on a user's behalf.Drawing upon legislation, FCA rules and guidance, case law and current reform proposals, the book is designed to help practitioners, in-house counsel, regulators, payment firms and academics understand and apply the law of digital payments.This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

Incentives and Benefits for Adopting Green Entrepreneurship Practices

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