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Digitalization and the Transformation of
the Healthcare Sector

Digitalization and the Transformation of the Healthcare Sector

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

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.Mazin A. M. Al Janabi
 is a distinguished scholar and practitioner in finance, banking, and financial engineering with more than three decades of experience spanning science, technology, and academia. He holds a PhD in Nuclear Engineering from the University of London (UK) and has held senior management roles at ING-Barings and BBVA, including Director of Global Market Risk Management and Head of Trading Risk. A Full Research Professor, he has served at leading institutions such as EGADE Business School (Mexico), United Arab Emirates University, and Al Akhawayn University (Morocco). His research, published in top-tier journals including the 
 European Journal of Operational Research
 , 
 International Review of Financial Analysis
 , and 
 Annals of Operations Research
 , explores market and liquidity risk in both emerging and developed markets. Prof. Al Janabi is also the developer of the “Al Janabi Model” for Liquidity Risk Management, recognized in academic literature for its innovation. As a research fellow at the Economic Research Forum (ERF) and a frequent keynote speaker, he continues to shape contemporary discourse in proprietary trading, market liquidity, and financial risk analytics.

A Unified Machine Learning Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

AI and Constitutional Law in Europe

Democracy in the Age of Disinformation

From the author of&nbsp;A People's Guide to Capitalism, a clear-eyed look at the world of cryptocurrencies, cutting through the glitz and the scams to reveal how crypto mirrors and exacerbates the crises of capitalism 
 
Cryptocurrencies have gone from being fringe investments relevant only to hardcore adherents to a multi-trillion industry with a direct line to Donald Trump's White House. The promises of crypto are wide-ranging, preying on a basic reality: people are alienated by an economic system that has excluded them and wonder if cryptocurrencies can offer a more transparent and inclusive alternative. 
 
Enter&nbsp;Crypto-Capitalism, Hadas Thier's deft, accessible examination of the rise and fall and rise again of crypto. Drawing on years of reporting on the industry, its insiders, and the ordinary people impacted by its wild peaks and busts, Thier explains how cryptocurrencies work, elucidates the context and implications of their rise, and debunks the utopian mythology that animates their boosters. 
 
By showing that systemic exploitation and domination are inherent in a crisis-ridden capitalist economy and are matters of class power, not technology, Thier convincingly cuts through the froth and the lies of financial dystopia. Along the way, she exposes the dangerous consequences of crypto's rise and offers alternative avenues for imagining what economic democracy could actually be.

The New Financial Dystopia

Crypto-Capitalism

A dazzling exploration of the phenomenon of prediction betting markets that asks: what happens when democracy becomes another commodity? For many, Donald Trump's decisive election victory over Kamala Harris in 2024 was a shock. Traditional polls had the race on a razor's edge. But, for those with eyes on prediction betting markets, a very different story was being told. In recent years, prediction markets have swept the world, fundamentally changing the nature of the gambling market, and making their youthful pioneers billionaires. Posed as binary 'Yes/No' questions about future events, prediction bets allow any difference of opinion - whether on politics, wars, assassinations or popular culture - to be financialised. But are these markets really a new phenomenon? What does it mean when markets get closer to the truth than the institutions we built to protect us? And what happens when those tasked with safeguarding democracy possess financial stakes in its volatility? From Renaissance Rome, where merchants wagered on papal conclaves, through London coffee house gossip during the Napoleonic Wars, to the Pentagon's ill-fated terrorism futures exchange, The Big Bet describes the full five-hundred-year arc of a permissive regime which no one designed and no one voted for. Drawing on deep expertise, Michael Auerbach examines how these markets are changing our world, and what they mean for the future of our democratic self-governance. Because they are not an anomaly - they are the logical endpoint of a society that has applied market capitalism to every aspect of life. And in a world when everything is a wager and nothing is off limits, knowing where the chips will fall matters more than ever.

Prediction Markets and the Future of Democracy

The Big Bet

Business Statistics of the United States

Business Statistics of the United States is a comprehensive and practical collection of data from as early as 1913 that reflects the nation's economic performance. It provides several years of annual, quarterly, and monthly data in industrial and demographic detail, including key indicators such as: gross domestic product, personal income, spending, saving, employment, unemployment, the capital stock, and more. Business Statistics of the United States is the best place to find historical perspectives on the U.S. economy. Of equal importance to the data are the introductory highlights, extensive notes, and figures for each chapter that help users to understand the data, use them appropriately, and, if desired, seek additional information from the source agencies. Business Statistics of the United States provides a rich and deep picture of the American economy and contains approximately 3,500 time series. The data are predominantly from federal government sources, including: ·Board of Governors of the Federal Reserve System ·Bureau of Economic Analysis ·Bureau of Labor Statistics ·Census Bureau ·Employment and Training Administration ·Energy Information Administration ·Federal Housing Finance Agency ·Department of the Treasury

Patterns of Economic Change

Business Statistics of the United States 2026

The Unintended Consequences of the AI, Robotics and Biotech Revolution

A Perfect World

Build a resilient, high-performing organization by integrating agentic AI into strategy, operations, and decision-making. Building an Agentic Organization is a strategic guide for senior technology, AI and business leaders responsible for delivering value from agentic AI while managing its risks. As organizations move toward human and AI collaboration at scale, leaders must balance innovation with governance, adoption, and long-term economic impact. Written by experienced AI executive Geoffrey Schaefer, this book provides a comprehensive framework for designing an agentic organization by examining strategy, governance, and economics. It explores how to define the purpose of agentic AI, align it with business objectives, and create the structures needed to support safe, scalable adoption. Addressing both opportunity and risk, it equips leaders to navigate workforce concerns, reputational exposure, and the evolving role of AI agents in enterprise environments. You'll learn how to: - Define a clear strategy for integrating agentic AI - Establish governance frameworks to manage risk and accountability - Drive workforce adoption and address resistance to AI collaboration - Assess economic value and impact of agentic AI systems &gt;Featuring real-world examples from Leidos, JPMorgan Chase, SY Partners, and OMA, this book provides a practical roadmap for embedding agentic AI into the fabric of your organization while protecting value, trust, and long-term performance. Themes include: agentic AI, AI strategy, AI governance, AI transformation, enterprise AI, risk management

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

Soziale Ziele professionell erreichen

Der deutsche Sozialmarkt befindet sich im Umbruch: Neue Akteure aus dem Bereich Social Entrepreneurship treten selbstbewusst auf, nutzen klare Positionierungen und einfache, wirkungsvolle Marketingstrategien, während traditionelle Trägerschaften dem Bereich Marketing immer noch skeptisch begegnen. Gleichzeitig verändern Digitalisierung, Fachkräftemangel und steigende Dokumentationspflichten die Spielregeln grundlegend. Wer Fördermittel sichern, Wirkung belegen und im Wettbewerb bestehen will, braucht heute mehr als Engagement. Es braucht eine intelligente Marketingstrategie und -maßnahmen.

Dieses Praxishandbuch zeigt, wie Marketing als Teil moderner Unternehmensführung
im sozialen Bereich wirksam eingesetzt wird, fundiert, verantwortungsvoll
und ohne die eigenen Werte zu verlieren. Von den Strukturen und
Finanzierungslogiken des deutschen Sozialmarkts über Grundlagen von Unternehmensführung,
Social Marketing und integrierter Kommunikation bis hin zu Marktforschung, Zielgruppenanalyse und datenbasierter Wirkungsmessung
werden zentrale Instrumente verständlich und einfach erläutert.

Anhand anschaulicher Praxisbeispiele führt das Buch Schritt für Schritt durch eine strukturierte Marketingplanung: von der Situations- und Stakeholderanalyse über Strategieentwicklung und Marketing-Mix bis zur Definition wirksamer
Erfolgsmessgrößen. Praxisnahe Modelle wie Business Model Canvas und Design Thinking ergänzen den ganzheitlichen Ansatz.

Soziale Markenwelten gestalten liefert Denkanstöße, Strategien und Werkzeuge für eine sinnstiftende Arbeitswelt, leicht verständlich, praxisnah und konsequent wirkungsorientiert. Für alle, die soziale Verantwortung nicht nur leben, sondern auch sichtbar und zukunftsfähig machen wollen.

Bestens geeignet für:
 
Führungs- und Fachkräfte, Marketingverantwortliche bei sozialen Trägern und Verbänden, Projektmanager sowie Beraterinnen und Berater in Einrichtungen und Diensten der Sozialen Arbeit, der Jugend- und Erwachsenenbildung sowie des Gesundheits- und Pflegemanagements, die entsprechende Prozesse fachlich, organisatorisch und moderierend begleiten. Optimal zu empfehlen für Studierende der Studiengänge Sozialmanagement/Sozialwirtschaft, Sozialarbeit/Sozialpädagogik.

Verantwortung wirksam und erfolgreich vermarkten

Soziale Markenwelten gestalten

Digitalization and the Transformation of the Healthcare Sector

Autres titres sur ce thème