Prediction machines: the simple economics of artificial intelligence
Cheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston, Massachusetts
Harvard Business Review Press
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | Cheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows -- Decomposing decisions -- Job redesign -- AI in the C-suite -- When AI transforms your business -- Managing AI risk -- Beyond business The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities |
| Beschreibung: | x, 250 Seiten Diagramme |
| ISBN: | 9781633695672 |
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| 520 | 3 | |a The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities | |
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Datensatz im Suchindex
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| adam_text | Contents
Acknowledgments ix
1. Introduction: Machine Intelligence 1
2. Cheap Changes Everything 7
Part One: Prediction
3. Prediction Machine Magic 23
4. Why It s Called Intelligence 31
5. Data Is the New Oil 43
6. The New Division of Labor 53
Part Two: Decision Making
7. Unpacking Decisions 73
8. The Value of Judgment 83
9. Predicting Judgment 95
10. Taming Complexity 103
11. Fully Automated Decision Making 111
Contents
Part Three: Tools
12. Deconstructing Work Flows 123
13. Decomposing Decisions 133
14. Job Redesign 141
Part Four: Strategy
15. Al in the C-Suite 155
16. When Al Transforms Your Business 167
17. Your Learning Strategy 179
18. Managing Al Risk 195
Part Five: Society
19. Beyond Business 209
Notes 225
Index 239
About the Authors 249
|
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| bvnumber | BV044710551 |
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| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| spelling | Agrawal, Ajay Verfasser (DE-588)128758899 aut Prediction machines the simple economics of artificial intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb Boston, Massachusetts Harvard Business Review Press [2018] © 2018 x, 250 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Cheap changes everything -- The magic of prediction -- Why it's called intelligence -- Data is the new oil -- The new division of labor -- Unpacking decisions -- The value of judgment -- Taming complexity -- What machines can learn -- Fully automated decision-making -- Deconstructing workflows -- Decomposing decisions -- Job redesign -- AI in the C-suite -- When AI transforms your business -- Managing AI risk -- Beyond business The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Wirtschaftstheorie (DE-588)4079351-5 gnd rswk-swf Regierung (DE-588)4049012-9 gnd rswk-swf Unternehmen (DE-588)4061963-1 gnd rswk-swf Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd rswk-swf Strategisches Management (DE-588)4124261-0 gnd rswk-swf Politik (DE-588)4046514-7 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Artificial intelligence / Economic aspects Decision making / Statistical methods Forecasting / Statistical methods Strategisches Management (DE-588)4124261-0 s Unternehmen (DE-588)4061963-1 s Regierung (DE-588)4049012-9 s Politik (DE-588)4046514-7 s Künstliche Intelligenz (DE-588)4033447-8 s Wirtschaftstheorie (DE-588)4079351-5 s Entscheidung bei Unsicherheit (DE-588)4070864-0 s Prognose (DE-588)4047390-9 s b DE-604 Gans, Joshua 1968- Verfasser (DE-588)130571776 aut Goldfarb, Avi Verfasser (DE-588)128832541 aut Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030107092&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Agrawal, Ajay Gans, Joshua 1968- Goldfarb, Avi Prediction machines the simple economics of artificial intelligence Künstliche Intelligenz (DE-588)4033447-8 gnd Wirtschaftstheorie (DE-588)4079351-5 gnd Regierung (DE-588)4049012-9 gnd Unternehmen (DE-588)4061963-1 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Strategisches Management (DE-588)4124261-0 gnd Politik (DE-588)4046514-7 gnd Prognose (DE-588)4047390-9 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4079351-5 (DE-588)4049012-9 (DE-588)4061963-1 (DE-588)4070864-0 (DE-588)4124261-0 (DE-588)4046514-7 (DE-588)4047390-9 |
| title | Prediction machines the simple economics of artificial intelligence |
| title_auth | Prediction machines the simple economics of artificial intelligence |
| title_exact_search | Prediction machines the simple economics of artificial intelligence |
| title_full | Prediction machines the simple economics of artificial intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb |
| title_fullStr | Prediction machines the simple economics of artificial intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb |
| title_full_unstemmed | Prediction machines the simple economics of artificial intelligence Ajay Agrawal, Joshua Gans, Avi Goldfarb |
| title_short | Prediction machines |
| title_sort | prediction machines the simple economics of artificial intelligence |
| title_sub | the simple economics of artificial intelligence |
| topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Wirtschaftstheorie (DE-588)4079351-5 gnd Regierung (DE-588)4049012-9 gnd Unternehmen (DE-588)4061963-1 gnd Entscheidung bei Unsicherheit (DE-588)4070864-0 gnd Strategisches Management (DE-588)4124261-0 gnd Politik (DE-588)4046514-7 gnd Prognose (DE-588)4047390-9 gnd |
| topic_facet | Künstliche Intelligenz Wirtschaftstheorie Regierung Unternehmen Entscheidung bei Unsicherheit Strategisches Management Politik Prognose |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030107092&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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