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Produkt vom BFSG ausgenommen: Hersteller ist Kleinstunternehmen

Ajay Agrawal

Joshua Gans

Avi Goldfarb

Máquinas predictivas

La sencilla economía de la inteligencia artificial

PREDICCIÓN. La magia de las máquinas predictivas. ¿Por qué se llama inteligencia?. Los datos son el nuevo petróleo. La nueva división del trabajo. TOMA DE DECISIONES. Descifrando decisiones. El valor del juicio. Prediciendo el juicio. Dominar la complejidad. Toma de decisiones totalmente automatizada. HERRAMIENTAS. Deconstruir los flujos de trabajo. Descomponiendo las decisiones. Rediseñando el trabajo. ESTRATEGIA. La IA y los directivos de alto nivel. Cuando la IA transforma tu negocio. Su estrategia de aprendizaje. Gestionar el riesgo de la IA. SOCIEDAD. Más allá del negocio.

Gelbe Erläuterungsbücher

Zum Werk
Durch die Verordnung zur Festlegung harmonisierter Vorschriften für Künstliche Intelligenz (KI-VO) sollen Standards in Bezug auf die Entwicklung und den Einsatz von KI gesetzt und damit auch die Wettbewerbsfähigkeit der EU in diesem Bereich sichergestellt werden.
Die Verordnung folgt dabei einem risikobasierten Ansatz, nach dem KI-Anwendungen ihrem potenziellen Risiko nach eingruppiert werden.
Der Kommentar stellt die einzelnen Vorschriften kompakt und praxisorientiert dar und gibt einen schnellen, aber dennoch fundierten Überblick über die für Künstliche Intelligenz geltenden Regelungen.

Vorteile auf einen Blick<ul><li>kompakte und praxisnahe Kommentierung</li><li>fundierter Überblick</li></ul>Zielgruppe
Für Anwaltskanzleien, Rechtsabteilungen in Unternehmen und Gerichte.

Zum Werk 
 Die europäische Verordnung über künstliche Intelligenz (KI-VO bzw. AI Act) setzt bisher nicht dagewesene Standards und stellt neue Vorgaben an Unternehmen und Organisationen in Bezug auf die Entwicklung und den Einsatz von KI-Modellen und -Systemen. Diese Anforderungen sind ausgehend von dem sog. risikobasierten Ansatz für die verschiedenen Formen von KI unterschiedlich ausgestaltet.
 
 Die KI-VO zielt dabei zum einen auf die Wahrung ethischer Standards und Transparenz ab und will zugleich strenge Sicherheitsvorgaben einführen. Dabei wird als eines der zentralen Ziele nicht zuletzt der Schutz personenbezogener Daten sowie die Wahrung der Privatsphäre angestrebt. Die neuen Regelungen und Verpflichtungen bringen, basierend auf den Erfahrungen im Zusammenhang mit anderen umfassenden neuartigen Rechtsrahmen, rechtliche Unsicherheiten für alle Akteure mit sich. Hier setzt der Kommentar an, um Hilfe bei der Anwendung und Auslegung der neuen Vorgaben zu geben, sodass Unternehmen und die weiteren Beteiligten ihre Technologien erfolgreich implementieren können.
 
 Der Kommentar stellt die einzelnen Vorschriften kompakt und praxisorientiert dar und gibt einen schnellen, aber dennoch fundierten Überblick über die nun für Künstliche Intelligenz geltenden Regelungen.
 Vorteile auf einen Blick<ul><li>kompakte und praxisnahe Kommentierung</li><li>fundierter Überblick über die neuen Regelungen</li></ul> Zielgruppe 
 Für Anwaltskanzleien, Rechtsabteilungen in Unternehmen, die öffentliche Verwaltung sowie die Justiz.

Verordnung über Künstliche Intelligenz

KI-VO

Sustainable Finance

The integration of cutting-edge technologies – such as Artificial Intelligence (AI) and Machine Learning (ML) – combined with a growing emphasis on sustainability and the Sustainable Development Goals (SDGs), is profoundly transforming the business landscape in general, and the fields of Accounting and Finance in particular. This edited volume presents a comprehensive collection of expert insights, research findings, and reflective essays that examine the evolving landscape of Accounting and Finance research, education, and professional practice.
Bringing together diverse perspectives from various scholars worldwide, the book offers readers a deeper understanding of how technology, digitalization, innovation, sustainability, and evolving pedagogical approaches are reshaping the Accounting and Finance domain. Rather than predicting a future in which automation replaces human expertise, it highlights the changing role of Accounting and Finance professionals – emphasizing the need for new skill sets and a mindset that embraces technological advancement while aligning with sustainability goals. This volume serves as a timely and essential resource for anyone seeking to navigate – and contribute to – the profound transformations underway in the Accounting and Finance field.

The integration of cutting-edge technologies – such as Artificial Intelligence (AI) and Machine Learning (ML) – combined with a growing emphasis on sustainability and the Sustainable Development Goals (SDGs), is profoundly transforming the business landscape in general, and the fields of Accounting and Finance in particular. This edited volume presents a comprehensive collection of expert insights, research findings, and reflective essays that examine the evolving landscape of Accounting and Finance research, education, and professional practice.Bringing together diverse perspectives from various scholars worldwide, the book offers readers a deeper understanding of how technology, digitalization, innovation, sustainability, and evolving pedagogical approaches are reshaping the Accounting and Finance domain. Rather than predicting a future in which automation replaces human expertise, it highlights the changing role of Accounting and Finance professionals – emphasizing the need for new skill sets and a mindset that embraces technological advancement while aligning with sustainability goals. This volume serves as a timely and essential resource for anyone seeking to navigate – and contribute to – the profound transformations underway in the Accounting and Finance field.

Embracing Technology, Digitalisation, Sustainability, Education, and Employability

The Future of Accounting and Finance

Preface.- Chapter 1: A World in Transition.- Chapter 2: The Luddite Complex and the Psychology of Resistance.- Chapter 3: Man and the Machine – The Human-Machine Relationship.- Chapter 4: Technological Progress Driving Social Progress.- Chapter 5: Education in the Supply Chain – Systemic Overhaul.- Chapter 6: The Rise of the Knowledge Worker 3.0.- Chapter 7: Organizing Principles – From Hierarchies to Networks.- Chapter 8: Social Policy and Economic Equity.- Chapter 9: Conscious Capitalism and the Modern Social Contract.- Chapter 10: Sector Deep Dive – Logistics, Trucking, and the Automation Paradox.- Chapter 11: Strategy Map 2.0 – A 21st Century Vision for Human Capital.- Conclusion – Designing the Human Future.

This book aims to redefine how organizations view talent, skills, and workforce readiness in the 21
 st
 century. The rapid acceleration of artificial intelligence, machine learning, and digital transformation is reshaping the global workforce at an unprecedented pace. As businesses grapple with the profound impact of these changes, the need for a comprehensive framework to navigate this transformation is critical. 
 TheHuman Capital Supply Chain in the Age of AI
 offers a groundbreaking approach to workforce strategy, integrating insights from data science, economic theory, sociology/psychology, and human capital management to create practical ideas for leaders, educators, and policymakers in the 21
 st
 century.
 
 This book focuses on strategic orchestration of people across roles, locations, and skill levels as flexible supply chain actors, enabled through AI-driven workforce forecasting, intelligent learning pathways, and real-time deployment models. Where 
 The Magic Conveyor Belt
 examines human-machine collaboration in logistics, my narrative shifts the spotlight to human capital as integral pipeline - managing assets, quantifying and integrating them into supply chain operations to drive resilience and innovation. It explores how data-driven decision-making, digital credentials, and AI-driven skills assessment can bridge the gap between education and employment, creating a resilient, adaptable workforce prepared for the jobs of the future.
 This frameworks and execution blueprint empowers organizations and leaders to transform talent strategy into a dynamic, data-driven supply chain, thereby placing human capital firmly at the center of AI‑infused operations.What You Will LearnThe transformation from knowledge to learning economiesThe role of digital credentials and learning recordsWorkforce strategy in an age of disruptionWho This Book is ForBusiness leaders, HR professionals, educators, policymakers, and technology experts seeking a practical guide to workforce strategy and talent management in the digital age.

Workforce Transformation, Strategy, and the Future of Work

Human Capital Supply Chain in the Age of AI

How Big Data, AI, Green Transition and Sustainable Finance Transform the World

The New Geopolitics of Sustainability

mitp Business

<ul><li>Klarer Fahrplan zum systematischen Aufbau von KI-Kompetenz im Mittelstand</li>
<li>Konkrete Use Cases, Quick Wins und messbare Ergebnisse</li>
<li>Mit praxisnahen Beispielen und Checklisten</li></ul>


Wertschöpfung durch KI
Künstliche Intelligenz ist kein Zukunftsthema mehr. Sie verändert bereits heute Märkte, Arbeitsweisen und Wettbewerbsbedingungen - auch im Mittelstand. Gleichzeitig herrscht große Unsicherheit: Was ist wirklich relevant? Was ist übertrieben? Und wo beginnt man, Fehlentscheidungen zu treffen oder Ressourcen zu binden, ohne Wirkung zu erzielen?
Dieses Buch setzt genau hier an. Es richtet sich an Unternehmen, die sich bislang noch nicht systematisch mit KI beschäftigt haben, aber erkennen, dass Handlungsbedarf besteht. Im Mittelpunkt steht nicht die Technologie, sondern die Frage nach konkreter Wertschöpfung: Wo kann KI sinnvoll entlasten, Prozesse verbessern oder Entscheidungen unterstützen - und wie lässt sich dieser Nutzen realistisch bewerten?
Use Cases und messbare Ergebnisse nutzen
Anhand eines strukturierten Readiness-Checks wird zunächst der eigene Status realistisch eingeordnet. Darauf aufbauend beleuchten die Autoren typische Fehlannahmen, notwendige Voraussetzungen und bewährte Vorgehensweisen aus der Praxis. Konkrete Use Cases, Quick Wins und messbare Ergebnisse machen den KI-Nutzen greifbar. Dabei wird klar aufgezeigt, was heute sinnvoll umsetzbar ist - und wo Erwartungen korrigiert werden sollten. Mit diesem Buch erhalten Sie einen praxisnahen Leitfaden für Unternehmen, die KI fundiert, verantwortungsvoll und wirksam einsetzen wollen.

Aus dem Inhalt:
<ul><li>Was Künstliche Intelligenz ist - und warum sie für KMUs relevant ist</li>
<li>Exponentielles KI-Wachstum und seine Auswirkungen auf den Mittelstand
</li><li>Readiness-Check: Reifegrad bestimmen und Handlungsfelder erkennen
</li><li>Typische KI-Fehlannahmen im Mittelstand und ihre Folgen
</li><li>Technische, organisatorische und kulturelle Voraussetzungen
</li><li>Die vier Säulen einer nachhaltigen KI-Transformation
</li><li>Kompetenzaufbau für Mitarbeitende und Führungskräfte
</li><li>Quick Wins und Pilotprojekte mit realistischem Aufwand
</li><li>Messbarkeit, Kennzahlen und Bewertung von KI-Nutzen</li></ul>

Praxisnahe Strategien für Entscheider

KI-Kompetenz aufbauen im Unternehmen

Understanding Construction

Understanding Blockchain in Construction: A Practical Guide is an essential resource that offers a comprehensive exploration of the transformative impact of blockchain technology in the construction industry. This book serves as a foundational reference, detailing how blockchain technology is the cornerstone for data-driven digital processes in the built environment, often referred to as the 'golden thread'. It aims to satisfy the growing need for knowledge and understanding among professionals in the enterprise, business, and information systems sectors of the construction industry, addressing both current capability needs and future opportunities.This new addition to the Routledge Understanding Construction Series is a valuable resource for anyone in the construction industry looking to grasp how the data technology, blockchain, can revolutionize their work. In simple terms, it explains how blockchain can make construction projects more efficient, transparent, and sustainable. The book is filled with real-life examples showing how blockchain can help in various aspects of construction, like strict accountability to project safety rules and environmental standards, protecting architects' and engineers' original designs, and improving communication and data sharing between different software platforms used in construction. It's written in an easy-to-understand way, making it perfect for both beginners and experts. Essentially, this book is like a roadmap, guiding construction professionals through the exciting new world of blockchain, helping them stay updated and make their projects more effective and future-proof.

A Practical Guide

Understanding Blockchain in Construction

A timely, practical guide to AI—its strengths, weaknesses, and real-world applications—for business professionals and policymakers. Artificial intelligence, or AI, can recognize a pattern from any set of data it is given, which is what makes it such an extraordinarily powerful tool. But because not all patterns are authentic or reliable, AI's pattern-finding superpower can lead to spurious patterns—and to disastrous results for business and government entities that rely on them. Hence the conundrum at the heart of AI: its greatest strength can also be its greatest weakness. Targeting the businessperson who needs to know how to use AI profitably and responsibly, Caleb Briggs and Rex Briggs offer in this book a foundational understanding of AI that is easy to grasp yet thorough enough to be used effectively.

A timely, practical guide to AI its strengths, weaknesses, and real-world applications for business professionals and policymakers.

Harnessing the Power of AI for Your Organization—Profitably and Safely

The AI Conundrum

A town spoke. Something larger answered.

In September 2025, a township board in rural Michigan voted to reject a data center. Two days later, the developer sued. Within three weeks, the project was approved anyway.

THIS IS SERVER COUNTRY tells-through vivid narrative and clear-eyed analysis-the story of America's largest private infrastructure buildout. A trillion dollars. Six hundred projects. A power grid racing to keep up.

This book follows the people caught in the buildout, explains how the machines actually work, and asks why farmland instead of shuttered factories. It traces the current backward from silicon in Taiwan to sandy loam in Saline-and reveals who builds, who benefits, and who pays, where local zoning meets great-power politics.

The book covers: How AI inference works and why it demands unprecedented compute power. 
Why data centers choose farmland, not cities. 
The trillion-dollar capital wave reshaping American infrastructure. 
State incentive wars and community resistance. 
The nuclear renaissance and natural gas reality.
Export controls and the geopolitics of AI.



The railroads opened the West. The interstates created the suburbs. The AI boom follows the same pattern, at faster speed-but to what end, we know not yet.

AI, Power, and the Remaking of Rural America

This Is Server Country

As the landscape of wealth management undergoes significant transformation, driven by advancements in technology, an increasing emphasis on sustainability, and a generational shift within the industry, this comprehensive volume explores cutting-edge sustainable financial management strategies. It highlights the integration of Artificial Intelligence (AI), Sustainable Development Goals (SDGs), and Environmental, Social, and Governance (ESG) criteria.The comparison between passive and active asset management is examined to help readers understand the resilience and suitability of each strategy. The book also looks at ESG (Environmental, Social, and Governance) strategies and SDG (Sustainable Development Goals) aligned investments, providing illustrative case studies for both. It discusses active ownership and stakeholder strategies, highlighting the unique contributions of female shareholder activism.The book scrutinizes the regulatory environment, focusing on how global financial hubs define and promote sustainable investments. It also analyzes impact investing with a focus on measuring impacts and returns using practical case studies. The rise of green fintech, the concept of assetization, and the implementation of AI in asset management are explored. Key findings emphasize the resilience and sustainability in portfolio strategies and new KPIs. The book provides a guidelines for sustainable finance practices that align with global sustainability goals. It appeals to finance professionals wanting to learn how to build a sustainable and resilient investment portfolio.

Creating Resilient and Sustainable Portfolios

Sustainable Asset Management

ISO/IEC 42001:2023 is the world-first standard for managing AI responsibly. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning. This voluntary international standard on AI management systems is growing in importance. With increased concerns over-and distrust of-the use of AI, more and more consumers and clients are likely to require their vendors to be ISO/IEC 42001:2023-certified, and more organizations in all industries and of all sizes are likely to implement AI management systems on their own.


Part of this AI management system's implementation process involves taking into consideration "legal requirements." However, many implementers have trouble understanding the basic concepts of AI law. In preparation for the increasing regulation of AI across the globe, this book aims to methodically connect the dots between the technical standard and domestic, regional, and international laws relating to AI, mapping the technical standard's clauses and controls to the relevant legal provisions.


This book will explain the law in a comprehensible way to the implementer of the AI management system (regardless of whether they are legally trained), and adopt a comparative approach: given their extra-territorial reach (the 'Brussels effect'), the EU AI Act, and the GDPR will be regarded as the benchmarks, contrasted with examples from other jurisdictions which are likely to use these regulations as starting points for their drafting of new AI laws.


This book will ground the discussion in AI ethics (while avoiding abstract principles in this practical guide), and will be structured according to the ethical principles of privacy, security, fairness, transparency and explainability. This structure aims to revitalize and provide a unique interpretation of what is often perceived as a dry, procedural standard.


What You Will Learn:


 Both the standard and the organization which set it, and the relevance of law.

 The context, relevance and role of legal requirements in the standard.

 Understand how their implementation of the AIMS supports ethical AI principles of privacy, security, fairness, transparency and explainability.

 Know the applicable laws at various stages of the implementation process of the AIMS.

 Appreciate the international nature of this standard despite varying regulations.





 


Who This Book is for:


Anyone tasked specifically with the implementation of an AIMS according to ISO/IEC 42001:2023. For all industries and organizations.

ISO/IEC 42001:2023 is the world-first standard for managing AI responsibly. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning. This voluntary international standard on AI management systems is growing in importance. With increased concerns over—and distrust of—the use of AI, more and more consumers and clients are likely to require their vendors to be ISO/IEC 42001:2023-certified, and more organizations in all industries and of all sizes are likely to implement AI management systems on their own.Part of this AI management system’s implementation process involves taking into consideration “legal requirements.” However, many implementers have trouble understanding the basic concepts of AI law. In preparation for the increasing regulation of AI across the globe, this book aims to methodically connect the dots between the technical standard and domestic, regional, and international laws relating to AI, mapping the technical standard’s clauses and controls to the relevant legal provisions.This book will explain the law in a comprehensible way to the implementer of the AI management system (regardless of whether they are legally trained), and adopt a comparative approach: given their extra-territorial reach (the ‘Brussels effect’), the EU AI Act, and the GDPR will be regarded as the benchmarks, contrasted with examples from other jurisdictions which are likely to use these regulations as starting points for their drafting of new AI laws.This book will ground the discussion in AI ethics (while avoiding abstract principles in this practical guide), and will be structured according to the ethical principles of privacy, security, fairness, transparency and explainability. This structure aims to revitalize and provide a unique interpretation of what is often perceived as a dry, procedural standard.What You Will Learn:<ul><li>Both the standard and the organization which set it, and the relevance of law.</li><li>The context, relevance and role of legal requirements in the standard.</li><li>Understand how their implementation of the AIMS supports ethical AI principles of privacy, security, fairness, transparency and explainability.</li><li>Know the applicable laws at various stages of the implementation process of the AIMS.</li><li>Appreciate the international nature of this standard despite varying regulations.</li></ul>&nbsp;Who This Book is for:Anyone tasked specifically with the implementation of an AIMS according to ISO/IEC 42001:2023. For all industries and organizations.

A Principled Implementation of the AI Management System

ISO 42001 and Legal Compliance

What happens when intelligent machines aren’t just in our pockets but are also driving our cars, making our decisions, folding our laundry, and educating our kids? You’ve heard the hype: AI will make us healthier, give every child a personalized tutor, run our businesses more efficiently, return hours of free time to our overworked brains, and make discoveries previously unimagined by humankind. The AI future is going to be unlike any other technological revolu­tion. But what does that really mean? And will AI truly make life better? To find out, award-winning journalist Joanna Stern surrendered her life to artificial intelligence for one year. The results are both hilarious and unsettling. I Am Not a Robot is like a time machine trip to the very near future, where AI promises to be your doctor, chauffeur, teacher, masseuse, coworker, thera­pist, financial planner, chef, housekeeper, and even . . . romantic partner. Your colleague might be using ChatGPT to write emails at work, but Joanna used AI tools and robots to do household chores, to manage her health, and to transport her family on vacation. If there was a decision to make or a task to do, she let AI go first. Along the way, she conducted exclusive interviews with the tech leaders building this future, then reported back from the front lines as your funny, no-nonsense tour guide. Of course, tech’s sunny promises never tell the whole story, and that’s what Joanna is here to share. Filled with illustrations and photographs, this book offers less hype, more clarity, and as little jargon as humanly (or robotically) possible. It’s an AI guide for ordinary people—not the tech bros who tried to sell you a cruise to the metaverse or an NFT of a cartoon monkey. This book is not the definitive story, because we’re only a few years into the AI revolution. But after a year of living as a human lab rat, Joanna deliv­ers one of the clearest—and funniest—pictures yet of what’s really happening and what it means for you.

What happens when artificial intelligence moves into your home, drives your car, and starts making your decisions? Wall Street Journal senior tech columnist Joanna Stern surrendered her life to artificial intelligence for one year. The results are both hilarious and alarming.We’ve all heard that AI is going to change our lives, but what does that really mean for ordinary people—not the tech bros who tried to sell us a cruise to the metaverse or an NFT of a cartoon monkey? What are the salient sights, habits, and sounds that will permeate our lives? What are things that we can barely perceive right now, but will soon become second nature to us?In this informative and engaging book&nbsp;Joanna Stern of the Wall Street Journal takes you on a time machine trip to the very near future, where AI promises to be your doctor, chauffeur, teacher, masseuse, and even . . .&nbsp;romantic partner. She introduces us to the many very real humans who are inventing the future. Unlike other AI books, Stern’s book is full of fun, humor, and creativity as Joanna tests new technology and explores how people are living (and playing) with it already.It was hard to imagine buying things with a single tap when the Internet became part of your consciousness in 1994. You didn’t think you’d be video calling a doctor, who’d just confirm what you’d already found using something called Google. And did you ever think that you’d snap a photo on your pocket-sized supercomputer for people to “heart?”&nbsp;Technology profoundly changes everyday life, and this book is a very human journey into a brave new world—a world that’s exciting, and, yes, a little scary. Like Mary Roach, Joanna cuts to the funny and oddly marvelous when examining these serious ideas and uses infographics, photos, and illustrations to make esoteric material engaging and instructive. It’s like taking a weird, unforgettable vacation with a really good friend.

My Year Using AI to Do (Almost) Everything

I Am Not a Robot

En la presente obra se revela un modelo concebido para la administración de equipos de trabajo, la estructuración orientada al cumplimiento de objetivos y la aplicación rigurosa de las experiencias y facultades del liderazgo. Restituir a la persona como el origen y el destino de cada acción y decisión constituye una de las más nobles y e ca ces estrategias para alcanzar las metas propuestas, así como para afrontar con determinación los imprevistos que, de manera cotidiana, surgen en las múltiples industrias y disciplinas con las cuales interactuamos.
Si bien en estas páginas se abordan fundamentos y conceptos con los que, sin duda, has tenido contacto en diversas ocasiones, descubrirás que su exposición aquí se hace especialmente práctica y aplicable. Ello obedece a que este modelo es fruto de numerosos años de empleo y perfeccionamiento en el ejercicio directo de mi labor con los equipos bajo mi responsabilidad. Los capítulos dedica dos al análisis de casos ofrecerán una comprensión más profunda y tangible del modelo, al mostrar con claridad su alcance y pertinencia.
La TFII constituye, en suma, la síntesis solemne de mi visión, organización e influencia en la conformación de objetivos, en la obtención de resultados, en la formación de los integrantes y, sobre todo, en la evolución y trascendencia de las instituciones públicas y privadas con las que he tenido el honor de interactuar.

TEORÍA FENOTÍPICA INTEGRATIVA INSTITUCIONAL

Máquinas predictivas

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