The artificial intelligence imperative :: a practical roadmap for business /
This book analyzes competitive trends, provide industry and governance examples, and explains interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things.
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Santa Barbara, California :
Praeger,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book analyzes competitive trends, provide industry and governance examples, and explains interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. |
| Beschreibung: | 1 online resource (xxix, 290 pages) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781440859953 1440859957 |
Internformat
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| 100 | 1 | |a Lauterbach, Anastassia, |e author. | |
| 245 | 1 | 4 | |a The artificial intelligence imperative : |b a practical roadmap for business / |c Anastassia Lauterbach and Andrea Bonime-Blanc ; foreword by Ian Bremmer. |
| 264 | 1 | |a Santa Barbara, California : |b Praeger, |c [2018] | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction -- The past, present and future of AI -- A brief history of AI -- Ai social-science concepts -- Key cognitive and machine learning approaches -- AI technologies : from computer vision to drones -- AI and blockchain, IOT, cybersecurity, and quantum computing -- Enablers and preconditions to achieve AI -- Data -- Algorithms -- Hardware -- Openness -- The race for AI dominance : from full-stack providers to "AI-as-a-service" companies -- AI crossplay : academia and the private sector -- The geopolitics of AI: China vs. USA -- Full-stack companies: the battle of the giants -- Product and domain-focused ML companies -- Traditional and new enterprise companies focused on ML -- Introducing AI into a traditional business -- AI in different sectors : from autos to military robots -- AI and the automotive industry -- AI in healthcare -- AI and the financial sector -- AI in natural resources and utilities -- AI in other business sectors -- AI in government and military -- The socio-politics of AI : critical issues -- Data-control, AI and societies -- The future of employment and the pursuit of life-long learning -- Ethical design and social governance -- The governance of AI : a practical roadmap for business -- Traditional boards? readiness to address AI : transforming fear into value -- Discussing AI in the boardroom -- Notes -- Index. | |
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| 650 | 6 | |a Intelligence artificielle. | |
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| author | Lauterbach, Anastassia Bonime-Blanc, Andrea |
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| contents | Introduction -- The past, present and future of AI -- A brief history of AI -- Ai social-science concepts -- Key cognitive and machine learning approaches -- AI technologies : from computer vision to drones -- AI and blockchain, IOT, cybersecurity, and quantum computing -- Enablers and preconditions to achieve AI -- Data -- Algorithms -- Hardware -- Openness -- The race for AI dominance : from full-stack providers to "AI-as-a-service" companies -- AI crossplay : academia and the private sector -- The geopolitics of AI: China vs. USA -- Full-stack companies: the battle of the giants -- Product and domain-focused ML companies -- Traditional and new enterprise companies focused on ML -- Introducing AI into a traditional business -- AI in different sectors : from autos to military robots -- AI and the automotive industry -- AI in healthcare -- AI and the financial sector -- AI in natural resources and utilities -- AI in other business sectors -- AI in government and military -- The socio-politics of AI : critical issues -- Data-control, AI and societies -- The future of employment and the pursuit of life-long learning -- Ethical design and social governance -- The governance of AI : a practical roadmap for business -- Traditional boards? readiness to address AI : transforming fear into value -- Discussing AI in the boardroom -- Notes -- Index. |
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| spelling | Lauterbach, Anastassia, author. The artificial intelligence imperative : a practical roadmap for business / Anastassia Lauterbach and Andrea Bonime-Blanc ; foreword by Ian Bremmer. Santa Barbara, California : Praeger, [2018] ©2018 1 online resource (xxix, 290 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Introduction -- The past, present and future of AI -- A brief history of AI -- Ai social-science concepts -- Key cognitive and machine learning approaches -- AI technologies : from computer vision to drones -- AI and blockchain, IOT, cybersecurity, and quantum computing -- Enablers and preconditions to achieve AI -- Data -- Algorithms -- Hardware -- Openness -- The race for AI dominance : from full-stack providers to "AI-as-a-service" companies -- AI crossplay : academia and the private sector -- The geopolitics of AI: China vs. USA -- Full-stack companies: the battle of the giants -- Product and domain-focused ML companies -- Traditional and new enterprise companies focused on ML -- Introducing AI into a traditional business -- AI in different sectors : from autos to military robots -- AI and the automotive industry -- AI in healthcare -- AI and the financial sector -- AI in natural resources and utilities -- AI in other business sectors -- AI in government and military -- The socio-politics of AI : critical issues -- Data-control, AI and societies -- The future of employment and the pursuit of life-long learning -- Ethical design and social governance -- The governance of AI : a practical roadmap for business -- Traditional boards? readiness to address AI : transforming fear into value -- Discussing AI in the boardroom -- Notes -- Index. Online resource; title from digital title page (viewed on May 07, 2018). This book analyzes competitive trends, provide industry and governance examples, and explains interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Gestion Informatique. Intelligence artificielle. artificial intelligence. aat BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Reference. bisacsh BUSINESS & ECONOMICS Skills. bisacsh Artificial intelligence fast Business Data processing fast Bonime-Blanc, Andrea, author. Bremmer, Ian, 1969- author of introduction. http://id.loc.gov/authorities/names/n90714157 has work: The artificial intelligence imperative (Text) https://id.oclc.org/worldcat/entity/E39PCFWY8FGh7HG3vTFQyMrtXd https://id.oclc.org/worldcat/ontology/hasWork Print version: Lauterbach, Anastassia. Artificial intelligence imperative. Santa Barbara : Praeger, [2018] 9781440859946 (DLC) 2017054628 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1736833 Volltext |
| spellingShingle | Lauterbach, Anastassia Bonime-Blanc, Andrea The artificial intelligence imperative : a practical roadmap for business / Introduction -- The past, present and future of AI -- A brief history of AI -- Ai social-science concepts -- Key cognitive and machine learning approaches -- AI technologies : from computer vision to drones -- AI and blockchain, IOT, cybersecurity, and quantum computing -- Enablers and preconditions to achieve AI -- Data -- Algorithms -- Hardware -- Openness -- The race for AI dominance : from full-stack providers to "AI-as-a-service" companies -- AI crossplay : academia and the private sector -- The geopolitics of AI: China vs. USA -- Full-stack companies: the battle of the giants -- Product and domain-focused ML companies -- Traditional and new enterprise companies focused on ML -- Introducing AI into a traditional business -- AI in different sectors : from autos to military robots -- AI and the automotive industry -- AI in healthcare -- AI and the financial sector -- AI in natural resources and utilities -- AI in other business sectors -- AI in government and military -- The socio-politics of AI : critical issues -- Data-control, AI and societies -- The future of employment and the pursuit of life-long learning -- Ethical design and social governance -- The governance of AI : a practical roadmap for business -- Traditional boards? readiness to address AI : transforming fear into value -- Discussing AI in the boardroom -- Notes -- Index. Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Gestion Informatique. Intelligence artificielle. artificial intelligence. aat BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Reference. bisacsh BUSINESS & ECONOMICS Skills. bisacsh Artificial intelligence fast Business Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85018264 http://id.loc.gov/authorities/subjects/sh85008180 https://id.nlm.nih.gov/mesh/D001185 |
| title | The artificial intelligence imperative : a practical roadmap for business / |
| title_auth | The artificial intelligence imperative : a practical roadmap for business / |
| title_exact_search | The artificial intelligence imperative : a practical roadmap for business / |
| title_full | The artificial intelligence imperative : a practical roadmap for business / Anastassia Lauterbach and Andrea Bonime-Blanc ; foreword by Ian Bremmer. |
| title_fullStr | The artificial intelligence imperative : a practical roadmap for business / Anastassia Lauterbach and Andrea Bonime-Blanc ; foreword by Ian Bremmer. |
| title_full_unstemmed | The artificial intelligence imperative : a practical roadmap for business / Anastassia Lauterbach and Andrea Bonime-Blanc ; foreword by Ian Bremmer. |
| title_short | The artificial intelligence imperative : |
| title_sort | artificial intelligence imperative a practical roadmap for business |
| title_sub | a practical roadmap for business / |
| topic | Business Data processing. http://id.loc.gov/authorities/subjects/sh85018264 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Gestion Informatique. Intelligence artificielle. artificial intelligence. aat BUSINESS & ECONOMICS Management. bisacsh BUSINESS & ECONOMICS Reference. bisacsh BUSINESS & ECONOMICS Skills. bisacsh Artificial intelligence fast Business Data processing fast |
| topic_facet | Business Data processing. Artificial intelligence. Artificial Intelligence Gestion Informatique. Intelligence artificielle. artificial intelligence. BUSINESS & ECONOMICS Management. BUSINESS & ECONOMICS Reference. BUSINESS & ECONOMICS Skills. Artificial intelligence Business Data processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1736833 |
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