Operating AI: Bridging the Gap Between Technology and Business
Jagare, Ulrika
- 出版商: Wiley
- 出版日期: 2022-05-24
- 定價: $1,390
- 售價: 9.0 折 $1,251
- 語言: 英文
- 頁數: 272
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1119833191
- ISBN-13: 9781119833192
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相關分類:
人工智慧、大數據 Big-data、Data Science
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相關主題
商品描述
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 Jägare, 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 aspects of security, privacy, and data rights.
In the book, you'll also discover:
How to reduce the risk of entering bias in our artificial intelligence solutions
- 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, that generates value in the real world
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.
商品描述(中文翻譯)
在《Operating AI》一書中,愛立信公司的技術與架構總監Ulrika Jägare提供了一種全面且實際的方法,以在您的公司中實現人工智慧的運作。她平衡了數據工程、模型開發和人工智慧運營,為您介紹了如何引入人工智慧並成功運營AI項目的重要性。您將學習到擁抱人工智慧運營思維的重要性,以成功運營AI並在整個生命周期中領導AI項目,包括安全、隱私和數據權利等關鍵方面。
在這本書中,您還將發現:
- 如何減少人工智慧解決方案中偏見的風險
- 高效且可重複使用的數據管道的重要性,包括如何管理公司的數據
- 使用MLOps(機器學習運營)方法在操作層面上開發AI模型的重要性,包括如何在生產環境中部署、運行和監控模型和機器學習管道,以在現實世界中產生價值
《Operating AI》強調在現實世界中部署和運營可信且可靠的人工智慧解決方案的重要性,而不僅僅是在實驗室中。對於尋求將人工智慧商業模型實際賺錢的企業領導者來說,這本書是必讀之作,從概念階段到在實際生產環境中運行。
作者簡介
ULRIKA JÄGARE is the MSc. Director of Technology and Architecture at Ericsson AB. She has over 10 years of experience in data, analytics, and machine learning/artificial intelligence and over 20 years' experience in telecommunications.
作者簡介(中文翻譯)
ULRIKA JÄGARE 是愛立信公司的技術與架構碩士主管。她在數據、分析、機器學習/人工智慧方面擁有超過10年的經驗,並在電信領域擁有超過20年的經驗。