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Justyna Anna Grecko

Einsatz von Artificial Intelligence zur Bekämpfung der Geldwäsche in Kreditinstituten

Qualitative Analyse und Betrachtung

'Book of the Year' as chosen by The Conversation 'Disconcerting . . . a disturbing and important book' NEW SCIENTIST 'Smart and wonderfully readable' NEW YORK TIMES The bad science and sinister ideas behind Silicon Valley's foolish obsession with immortality, AI paradise and limitless growth. Tech billionaires have decided that they should determine our futures for us. According to Elon Musk, Jeff Bezos, Sam Altman and more, the only good future for humanity is one powered by technology: trillions of humans living in space, functionally immortal, served by superintelligent AIs. In More Everything Forever, scientist and writer Adam Becker investigates these wildly implausible and often profoundly immoral visions of tomorrow to reveal why, in reality, there is no good evidence that they will, or should, come to pass. The giants of Silicon Valley claim that their ideas are based on science, but the truth is darker: they come from a jumbled mix of shallow futurism and racist pseudoscience. And behind these fanciful visions of space colonies and digital immortality is a cynical power grab, at the expense of essential work spent on solving real problems like the climate crisis. More Everything Forever exposes the powerful myths that dominate Silicon Valley, challenging us to see how foolish, and dangerous, these visions of the future are.

AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

More Everything Forever

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

In a movement-defining book, the "godmother of the current moment of dissatisfaction with establishment politics" (The New York Times) tells the story of the rising anti-monopoly movement and charts a course to a democratic futureIn a short, sharp political book, The Nation magazine's "Anti-Monopolist" columnist and "a prophet of the resurgent left" (Franklin Foer) explains the battle between the forces of oligarchy and the rise of the new anti-monopoly movement. Using the stories of modern anti-monopoly heroes including Federal Trade Commission Chair Lina Khan; grocer Anthony Pena, who turned his frustrations with big box stores into a new grocers movement; and Doha Mekki, a Sudanese immigrant who developed the first successful criminal wage-fixing case for the Department of Justice; Teachout explains how anti-monopoly cuts across traditional political lines and gives real teeth to economic populism. Teachout, a scholar of the law of democracy and a politician whose run for governor of New York State shocked the political establishment, argues that monopoly is the architecture of private tyranny, and that breaking corporate power is essential to building a new democracy. From AI to agriculture, healthcare to energy, Americans understand that corporate concentration doesn't just cause inequality; it organizes power. Anti-Monopoly gives that feeling a name, a history, and a way forward. After a spate of books out of the Abundance movement arguing that we need to remove local democracy and focus on efficiency at scale, this book provides a sharp counterpoint.

A Citizen's Guide

Anti-Monopoly

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

In einer Welt, in der Künstliche Intelligenz, Blockchain und Big Tech die Märkte in Rekordtempo umwälzen, stellt sich für Anleger nur eine Frage:&nbsp;
 

 Wie unterscheidet man einen nachhaltigen Trend von einer gefährlichen Spekulationsblase? "Tech Money" liefert die Antwort durch ein messerscharfes, datenbasiertes System. Anstatt auf vage Prognosen zu setzen, führt Igor Pejic die Leser durch 100 ausgewählte Charts, welche die verborgenen Muster der Technologiezyklen offenlegen. Sie lernen nicht nur, die Mechanismen hinter exponentiellem Wachstum zu verstehen, sondern entwickeln eine klare Strategie für den idealen Ein- und Ausstieg. Dieses Buch ist der strategische Masterplan für alle, die technologische Disruption nicht nur beobachten, sondern aktiv zur massiven Vermögensbildung nutzen wollen.

Börsenerfolg mit Alphabet, Nvidia und Co

Tech Money

Palgrave Studies in Marketing, Organizations and Society

A Value-Centered Marketing Approach

Consumer Healthcare Behavior and Technology

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

Design AI-powered learning experiences that drive engagement, performance and measurable business impact. Learning Experience Design by Donald Clark is a strategic guide for senior learning professionals who need to modernize learning in an AI-driven world. As organizations adopt generative technologies, this book shows how to move beyond outdated course-led models and build adaptive, human-centred learning ecosystems. Focusing on the evolving role of the learning designer, this updated edition combines learning science, data insight and AI capability to help you design scalable, personalized and effective learning strategies. Drawing on research and real-world examples, it addresses the critical challenges of engagement, ethics and skills sustainability. You will learn how to: -Design AI-enabled learning experiences that adapt to learner needs - Use data, context and performance signals to personalize learning - Integrate simulations, games and workflow learning effectively - Employ ethical AI use and support sustainable skills development &gt;This book equips you to lead the transformation of learning, delivering smarter, scalable and more impactful outcomes across your organization. Themes include: learning experience design, AI in learning, adaptive learning, workplace learning, learning strategy, performance support

How to Build Effective Learning in the Age of AI

Learning Experience Design

Shaping an Inclusive, Green Transformation in the Digital Age

Energy Transition and Digital Transformation in the Arab Region

This book is a must-read for any aspiring IP lawyer... it is a useful manual with accurate and current information, as and when you need it - The Law Society Gazette Provides up-to-date coverage and analysis of the intellectual property laws applicable to all forms of computer software, placing the law in the context of computer use, examining copyright, database rights, patents, trade marks, design rights and the law of confidence. Updates to the 8th edition include: - a new chapter on Intellectual Property and AI - a number of cases on FRAND licensing in relation to telecommunications standards technologies, including Unwired Planet v Huawei - the effects of Brexit on intellectual property regulations - developments in the EU, US and other jurisdictions Information Technology and Intellectual Property Law can either be read from cover to cover as a thorough introduction to the subjects addressed or be used as a very useful starting point for a specialist practitioner faced with a particular problem on a particular case. With this in mind, this book is an essential addition to any IT and IP practitioner's bookshelf, as well as a useful textbook for non-specialists, advanced undergraduates and taught in postgraduate IT and IP courses. This title is also available as part of Bloomsbury Professional's IP &amp; IT online service.

Bainbridge on Information Technology and Intellectual Property Law

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

Einsatz von Artificial Intelligence zur Bekämpfung der Geldwäsche in Kreditinstituten

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