KI-Beratung Beta

Produktbild: Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)

Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)

Aus der Reihe HBR's 10 Must Reads

Fr. 29.90

inkl. gesetzl. MwSt., zzgl. Versandkosten


  • Kostenlose Lieferung ab Fr. 30 Einkaufswert

    Schweiz & Liechtenstein:

    Versandkostenfrei ab Fr. 30.00
    Versandkosten bis Fr. 30.00: Fr. 3.50

    Andere Lieferländer

    Fr. 18.00 unabhängig vom Warenwert

Beschreibung

The next generation of AI is here-use it to lead your business forward.

If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future...

Beschreibung

The next generation of AI is here-use it to lead your business forward.

If you read nothing else on artificial intelligence and machine learning, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

This book will inspire you to:

  • Create a new AI strategy
  • Learn to work with intelligent robots
  • Get more from your marketing AI
  • Be ready for ethical and regulatory challenges
  • Understand how generative AI is game changing
  • Stop tinkering with AI and go all in

This collection of articles includes "Competing in the Age of AI," by Marco Iansiti and Karim R. Lakhani; "How to Win with Machine Learning," by Ajay Agrawal, Joshua Gans, and Avi Goldfarb; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "Learning to Work with Intelligent Machines," by Matt Beane; "Getting AI to Scale," by Tim Fountaine, Brian McCarthy, and Tamim Saleh; "Why You Aren't Getting More from Your Marketing AI," by Eva Ascarza, Michael Ross, and Bruce G. S. Hardie; "The Pitfalls of Pricing Algorithms," by Marco Bertini and Oded Koenigsberg; "A Smarter Strategy for Using Robots," by Ben Armstrong and Julie Shah; "Why You Need an AI Ethics Committee," by Reid Blackman; "Robots Need Us More Than We Need Them," by H. James Wilson and Paul R. Daugherty; "Stop Tinkering with AI," by Thomas H. Davenport and Nitin Mittal; and "ChatGPT Is a Tipping Point for AI," by Ethan Mollick.

HBR's 10 Must Reads paperback series is the definitive collection of books for new and experienced leaders alike. Leaders looking for the inspiration that big ideas provide, both to accelerate their own growth and that of their companies, should look no further. HBR's 10 Must Reads series focuses on the core topics that every ambitious manager needs to know: leadership, strategy, change, managing people, and managing yourself. Harvard Business Review has sorted through hundreds of articles and selected only the most essential reading on each topic. Each title includes timeless advice that will be relevant regardless of an ever-changing business environment.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2023

Abbildungen

Illustrationen, nicht spezifiziert

Verlag Harvard Business Review Press

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2023

Abbildungen

Illustrationen, nicht spezifiziert

Verlag Harvard Business Review Press
Seitenzahl

176

Maße (L/B/H)

21/14.3/1.7 cm

Gewicht

193 g

Farbe

Graublau

Sprache

Englisch

ISBN

978-1-64782-584-3

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

Die Leseprobe wird geladen.
  • Produktbild: Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb)