The Resource The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport
The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport
Resource Information
The item The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Charlotte Mecklenburg Library.This item is available to borrow from 4 library branches.
Resource Information
The item The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Charlotte Mecklenburg Library.
This item is available to borrow from 4 library branches.
- Summary
- In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed--important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids"), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI
- Language
- eng
- Extent
- x, 231 pages
- Contents
-
- Artificial intelligence comes of age : slowly
- AI in the enterprise
- What are companies doing today?
- What's your cognitive strategy?
- AI tasks, organizational structures, and business processes
- Jobs and skills in a world of smart machines
- Technological approaches to cognitive technologies
- Managing the organizational, social, and ethical implications of AI
- Isbn
- 9780262538008
- Label
- The AI advantage : how to put the artificial intelligence revolution to work
- Title
- The AI advantage
- Title remainder
- how to put the artificial intelligence revolution to work
- Statement of responsibility
- Thomas H. Davenport
- Language
- eng
- Summary
- In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed--important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids"), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI
- Cataloging source
- DLC
- http://library.link/vocab/creatorDate
- 1954-
- http://library.link/vocab/creatorName
- Davenport, Thomas H.
- Dewey number
- 658/.0563
- Illustrations
- illustrations
- Index
- index present
- LC call number
- HC79.I55
- LC item number
- D369 2018
- Literary form
- non fiction
- Nature of contents
- bibliography
- Series statement
- Management on the cutting edge
- http://library.link/vocab/subjectName
-
- Artificial intelligence
- Artificial intelligence
- Technological innovations
- Label
- The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport
- Bibliography note
- Includes bibliographical references (pages 199-217) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Artificial intelligence comes of age : slowly -- AI in the enterprise -- What are companies doing today? -- What's your cognitive strategy? -- AI tasks, organizational structures, and business processes -- Jobs and skills in a world of smart machines -- Technological approaches to cognitive technologies -- Managing the organizational, social, and ethical implications of AI
- Dimensions
- 24 cm.
- Extent
- x, 231 pages
- Isbn
- 9780262538008
- Lccn
- 2018014665
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
-
- on1031050231
- (OCoLC)1031050231
- 2577825
- Label
- The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport
- Bibliography note
- Includes bibliographical references (pages 199-217) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Artificial intelligence comes of age : slowly -- AI in the enterprise -- What are companies doing today? -- What's your cognitive strategy? -- AI tasks, organizational structures, and business processes -- Jobs and skills in a world of smart machines -- Technological approaches to cognitive technologies -- Managing the organizational, social, and ethical implications of AI
- Dimensions
- 24 cm.
- Extent
- x, 231 pages
- Isbn
- 9780262538008
- Lccn
- 2018014665
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
-
- on1031050231
- (OCoLC)1031050231
- 2577825
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.cmlibrary.org/portal/The-AI-advantage--how-to-put-the-artificial/II9fqbSCEaw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.cmlibrary.org/portal/The-AI-advantage--how-to-put-the-artificial/II9fqbSCEaw/">The AI advantage : how to put the artificial intelligence revolution to work, Thomas H. Davenport</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.cmlibrary.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.cmlibrary.org/">Charlotte Mecklenburg Library</a></span></span></span></span></div>
