Cover von Prediction machines wird in neuem Tab geöffnet

Prediction machines

the simple economics of artifical intelligence
Verfasser*in: Suche nach Verfasser*in Agrawal, Ajay; Gans, Joshua; Goldfarb, Avi
Verfasser*innenangabe: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Jahr: 2018
Verlag: Boston, MA, Harvard Business Review Press
Mediengruppe: Buch
verfügbar

Exemplare

AktionZweigstelleStandorteStatusFristVorbestellungen
Vorbestellen Zweigstelle: 07., Urban-Loritz-Pl. 2a Standorte: GW.BMM FS.E Agra / College 6e - Englisch Status: Verfügbar Frist: Vorbestellungen: 0

Inhalt

Verlagstext:
"What does AI mean for your business? Read this book to find out." (Hal Varian, Chief Economist, Google)
Artificial intelligence does the seemingly impossible, magically bringing machines to life - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity - operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.
Aus dem Inhalt:
1 Introduction: Machine Intelligence 1
2 Cheap Changes Everything 7
Part 1 Prediction
3 Prediction Machine Magic 23
4 Why It's Called Intelligence 31
5 Data Is the New Oil 43
 

Details

Verfasser*in: Suche nach Verfasser*in Agrawal, Ajay; Gans, Joshua; Goldfarb, Avi
Verfasser*innenangabe: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Jahr: 2018
Verlag: Boston, MA, Harvard Business Review Press
opens in new tab
Systematik: Suche nach dieser Systematik GW.BMM, FS.E
Suche nach diesem Interessenskreis
ISBN: 9781633695672
Beschreibung: X, 250 Seiten : Illustrationen, Diagramme
Schlagwörter: Entscheidung bei Unsicherheit, Künstliche Intelligenz, Entscheidungsfindung, Prognose, Strategische Planung, Unternehmen, Artificial intelligence, Computerunterstützte Intelligenz, KI, Maschinelle Intelligenz, Betriebswirtschaft <Unternehmen>, Langfristige Planung, Prädiktion, Unternehmung, Voraussage, Vorausschätzung, Vorhersage, Wirtschaftsunternehmen
Suche nach dieser Beteiligten Person
Sprache: Englisch
Mediengruppe: Buch