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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.

The Key Driver of the Innovation Engine

Understanding the AI Economy

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

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 future In 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; blueberry farmer Hugh Kent, who turned his battle with Driscoll's into a farmers' movement; and Doha Mekki, the daughter of a Sudanese asylum seeker who took on Google and won; 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

ATOM: The Beginning

Discover the thrilling prequel to Tezuka's&nbsp;Astro Boy, where the future of robotics is forged in the fires of innovation and intense mecha battles. Experience a gripping journey into the origins of this series, based on the iconic anime streaming on Netflix, Amazon Prime Video, and Crunchyroll.

ATOM: The Beginning Vol.13

Finding Heart-Led Career in the Age of AI

A Soulful Transition

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the twenty-first century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

Platform Supply Chains in the AI Era

Risk Management

Platform Supply Chains 5

A rigorous, cutting-edge overview of the range of methods used to conduct causal inference in the social sciences. This textbook provides a lucid, rigorous, and cutting-edge overview of the methods used to conduct causal inference in the social sciences, covering all the core techniques and latest advances. Offering a detailed survey of the current state of microeconometric theory, Damian Clarke delves deeply into machine learning applications and presents developments in difference-in-difference methods, instrumental variables, multiple hypothesis testing, and other advanced topics. With a diverse range of examples and exercises offering hands-on experience, Applied Microeconometrics equips graduate students and researchers to apply state-of-the art scholarship to actionable problems. <ul><li>Integrates a rich array of machine learning methods into causal modeling frameworks</li><li>Covers recent advances in difference-in-differences and dynamic research designs, formal discussions of challenges related to inference and hypothesis testing, and heterogeneity analysis</li><li>Features a breadth of real-world examples from recent papers</li><li>Includes coding implementation in Python, R, and Stata</li></ul>

Applied Microeconometrics

KI-Tools für ein erfolgreiches Studium

Künstliche Intelligenz und wissenschaftliches Arbeiten

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

A Comprehensive Introduction

Financial Technology

International Series in Operations Research & Management Science

This book presents a comprehensive examination of emerging digital innovations and their implications for supply chain management. Bridging theory and application, this book provides valuable insights into how technological advancements are influencing practice, policy, and research across global supply networks. The book begins with an overview of emerging technologies and their practical applications in supply chains. It then explores the use of blockchain to enhance traceability and observability, followed by a detailed look at data-driven analytics for building resilient and adaptive supply chains. The final section focuses on the transformative role of artificial intelligence in optimizing supply chain operations. 
This book can be used as an essential source for students and scholars who are interested in pursuing research or teaching courses on the rapidly evolving field of digital transformation in supply chains. It also provides valuable insights for managers and practitioners seeking to enhance their knowledge and effectively navigate the digital transformation of their supply chain operations.

Towards Digital Transformation

Emerging Technologies in Supply Chains

Máquinas predictivas

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