Power and prediction : the disruptive economics of artificial intelligence / Ajay Agrawal, Joshua Gans, Avi Goldfarb

By:

Agrawal, Ajay K

Contributor(s):

Language: English Publication details: Boston, Massachusetts : Harvard Business Review Press, 2022Description: xiv, 268 pages : illustrations ; 24 cmISBN:

9781647824198
1647824192

Subject(s):

LOC classification:

Q 335 A277p 2022

Contents:

Part 1: The Between Times Chapter 1: A Parable of Three Entrepreneurs Chapter 2: AI's System Future Chapter 3: AI Is Prediction Technology Part 2: Rules Chapter 4: To Decide or Not to Decide Chapter 5: Hidden Uncertainty Chapter 6: Rules are Glue Part 3: Systems Chapter 7: Glued vs. Oiled Systems Chapter 8: The System Mindset Chapter 9: The Greatest System of All Part 4: Power Chapter 10: Disruption and Power Chapter 11: Do Machines Have Power? Agrawal et al FM- Chapter 12: Accumulating Power Part 5: How AI Disrupts Chapter 13: A Great Decoupling Chapter 14: Thinking Probabilistically Chapter 15: The New Judges Part 6: Envisaging New Systems Chapter 16: Designing Reliable Systems Chapter 17: The Blank Slate Chapter 18: Anticipating System Change Epilogue: AI Bias and Systems

Summary: "Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"

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Holdings
Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Libro	Biblioteca Juan Bosch	Biblioteca Juan Bosch	Humanidades	Humanidades (4to. Piso)	Q 335 A277p 2022 (Browse shelf(Opens below))	1	Available		00000170092

Includes index

Part 1: The Between Times
Chapter 1: A Parable of Three Entrepreneurs
Chapter 2: AI's System Future
Chapter 3: AI Is Prediction Technology
Part 2: Rules
Chapter 4: To Decide or Not to Decide
Chapter 5: Hidden Uncertainty
Chapter 6: Rules are Glue
Part 3: Systems
Chapter 7: Glued vs. Oiled Systems
Chapter 8: The System Mindset
Chapter 9: The Greatest System of All
Part 4: Power
Chapter 10: Disruption and Power
Chapter 11: Do Machines Have Power?
Agrawal et al FM-
Chapter 12: Accumulating Power
Part 5: How AI Disrupts
Chapter 13: A Great Decoupling
Chapter 14: Thinking Probabilistically
Chapter 15: The New Judges
Part 6: Envisaging New Systems
Chapter 16: Designing Reliable Systems
Chapter 17: The Blank Slate
Chapter 18: Anticipating System Change
Epilogue: AI Bias and Systems

"Banking and finance, pharmaceuticals, automotive, medical technology, retail. Artificial intelligence (AI) has made its way into many industries around the world. But the truth is, it has just begun its odyssey toward cheaper, better, and faster predictions to drive strategic business decisions-powering and accelerating business. When prediction is taken to the max, industries transform. The disruption that comes with such transformation is yet to be felt-but it is coming. How do businesses prepare? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go further to reveal AI as a prediction technology directly impacting decision-making and to teach businesses how to identify disruptive opportunities and threats resulting from AI. Their exhaustive study of new developments in artificial intelligence and the past history of how technologies have disrupted industries highlights the striking phase we are now in: after witnessing the power of this new technology and before its widespread adoption-what they call "the Between Times." While there continue to be important opportunities for businesses, there are also threats of disruption. As prediction machines improve, old ways of doing things will be upended. Also, the process by which AI filters into the many systems involved in application is very uneven. That process will have winners and losers. How can businesses leverage, or protect, their positions? Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policy maker on how to make the coming AI disruptions work for you rather than against you"

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