에너지경제연구원 전자도서관

로그인

에너지경제연구원 전자도서관

자료검색

  1. 메인
  2. 자료검색
  3. 소장자료

소장자료

단행본

Power and prediction: the disruptive economics of artificial intelligence

형태사항
xiv, 268 pages ; 25 cm
소장정보
위치등록번호청구기호 / 출력상태반납예정일
이용 가능 (1)
자료실E208320대출가능-
이용 가능 (1)
  • 등록번호
    E208320
    상태/반납예정일
    대출가능
    -
    위치/청구기호(출력)
    자료실
책 소개

Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines describe what you can do to prepare.

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.

목차
Table of contents Praise Page Title Page Copyright Dedication Contents Preface: Success from Away? Part One: The Between Times 1. A Parable of Three Entrepreneurs 2. AI’s System Future 3. AI Is Prediction Technology Part Two: Rules 4. To Decide or Not to Decide 5. Hidden Uncertainty 6. Rules Are Glue Part Three: Systems 7. Glued versus Oiled Systems 8. The System Mindset 9. The Greatest System of All Part Four: Power 10. Disruption and Power 11. Do Machines Have Power? 12. Accumulating Power Part Five: How AI Disrupts 13. A Great Decoupling 14. Thinking Probabilistically 15. The New Judges Part Six: Envisaging New Systems 16. Designing Reliable Systems 17. The Blank Slate 18. Anticipating System Change Epilogue: AI Bias and Systems Notes Index Acknowledgments About the Authors