在贵公司实施人工智能的整体和现实方法
在操作人工智能方面，爱立信AB的技术和架构总监乌尔丽卡·贾加尔（Ulrika Jägare）就如何通过平衡数据工程、模型开发和人工智能操作，向您的组织介绍人工智能进行了一次令人大开眼界的新讨论。您将了解到，在整个生命周期中，包括安全、隐私和数据权利的关键方面，采用人工智能运营思维，成功运营人工智能并领导人工智能计划的重要性。
在这本书中，你还会发现
•如何降低在我们的人工智能解决方案中加入偏见的风险
•高效且可复制的数据管道的重要性，包括如何管理公司的数据
•使用MLOps（机器学习操作）方法开发人工智能模型的操作视角，包括如何在生产中部署、运行和监控模型和ML管道，从而在现实世界中产生价值
高度重视可靠可靠的人工智能解决方案的部署和操作，这些解决方案在现实世界中运行良好，而不仅仅是实验室操作人工智能，这是企业领导者的必读之作，他们正在寻找方法来操作一种从概念阶段到在实际生产环境中运行的真正赚钱的人工智能商业模式。
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 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.
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