Operating AI bridging the gap between technology and business
A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jg̃are, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing...
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Format: | Elektronisch E-Book |
Sprache: | English |
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Hoboken, New Jersey
John Wiley & Sons, Inc.
[2022]
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520 | |a A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jg̃are, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you'll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world--and not just the lab--Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment. | ||
650 | 0 | |a Artificial intelligence |x Industrial applications | |
650 | 0 | |a Artificial intelligence | |
650 | 0 | |a Business |x Data processing | |
650 | 0 | |a Business |x Technological innovations | |
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650 | 4 | |a Intelligence artificielle | |
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650 | 4 | |a artificial intelligence | |
650 | 4 | |a Artificial intelligence ; Industrial applications | |
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author | Jägare, Ulrika |
author_facet | Jägare, Ulrika |
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discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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illustrated | Illustrated |
indexdate | 2024-12-18T08:46:56Z |
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isbn | 9781119833208 1119833205 9781119833215 1119833213 9781119833192 |
language | English |
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spelling | Jägare, Ulrika VerfasserIn aut Operating AI bridging the gap between technology and business Ulrika Jägare Hoboken, New Jersey John Wiley & Sons, Inc. [2022] 1 online resource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jg̃are, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you'll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world--and not just the lab--Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment. Artificial intelligence Industrial applications Artificial intelligence Business Data processing Business Technological innovations Intelligence artificielle ; Applications industrielles Intelligence artificielle Gestion ; Informatique Affaires ; Innovations artificial intelligence Artificial intelligence ; Industrial applications Business ; Data processing Business ; Technological innovations 1119833191 Erscheint auch als Druck-Ausgabe 1119833191 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781119833192/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
spellingShingle | Jägare, Ulrika Operating AI bridging the gap between technology and business Artificial intelligence Industrial applications Artificial intelligence Business Data processing Business Technological innovations Intelligence artificielle ; Applications industrielles Intelligence artificielle Gestion ; Informatique Affaires ; Innovations artificial intelligence Artificial intelligence ; Industrial applications Business ; Data processing Business ; Technological innovations |
title | Operating AI bridging the gap between technology and business |
title_auth | Operating AI bridging the gap between technology and business |
title_exact_search | Operating AI bridging the gap between technology and business |
title_full | Operating AI bridging the gap between technology and business Ulrika Jägare |
title_fullStr | Operating AI bridging the gap between technology and business Ulrika Jägare |
title_full_unstemmed | Operating AI bridging the gap between technology and business Ulrika Jägare |
title_short | Operating AI |
title_sort | operating ai bridging the gap between technology and business |
title_sub | bridging the gap between technology and business |
topic | Artificial intelligence Industrial applications Artificial intelligence Business Data processing Business Technological innovations Intelligence artificielle ; Applications industrielles Intelligence artificielle Gestion ; Informatique Affaires ; Innovations artificial intelligence Artificial intelligence ; Industrial applications Business ; Data processing Business ; Technological innovations |
topic_facet | Artificial intelligence Industrial applications Artificial intelligence Business Data processing Business Technological innovations Intelligence artificielle ; Applications industrielles Intelligence artificielle Gestion ; Informatique Affaires ; Innovations artificial intelligence Artificial intelligence ; Industrial applications Business ; Data processing Business ; Technological innovations |
url | https://learning.oreilly.com/library/view/-/9781119833192/?ar |
work_keys_str_mv | AT jagareulrika operatingaibridgingthegapbetweentechnologyandbusiness |