Operating AI

Operating AI

by Ulrika Jagare
Released May 2022
Publisher(s): Wiley
ISBN: 9781119833192

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Book description

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 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.

Table of contents

  1. Cover
  2. Title Page
  3. Foreword
  4. Introduction
    1. What Does This Book Cover?
    2. How to Contact the Publisher
    3. How to Contact the Author
  5. CHAPTER 1: Balancing the AI Investment
    1. Defining AI and Related Concepts
    2. Operational Readiness and Why It Matters
    3. The Operational Challenge
    4. Strategy, People, and Technology Considerations
  6. CHAPTER 2: Data Engineering Focused on AI
    1. Know Your Data
    2. The Data Pipeline
    3. Scaling Data for AI
    4. The Role of a Data Fabric
    5. Key Competences and Skillsets in Data Engineering
  7. CHAPTER 3: Embracing MLOps
    1. MLOps as a Concept
    2. From ML Models to ML Pipelines
    3. Adopt a Continuous Learning Approach
    4. The Maturity of Your AI/ML Capability
    5. The Model Training Environment
    6. Considering the AI/ML Functional Technology Stack
    7. Key Competences and Toolsets in MLOps
  8. CHAPTER 4: Deployment with AI Operations in Mind
    1. Model Serving in Practice
    2. The ML Inference Pipeline
    3. The Industrialization of AI
    4. The Importance of a Cultural Shift
  9. CHAPTER 5: Operating AI Is Different from Operating Software
    1. Model Monitoring
    2. Model Scoring in Production
    3. Retraining in Production Using Continuous Training
    4. Diagnosing and Managing Model Performance Issues in Operations
    5. Model Monitoring for Stakeholders
    6. Toolsets for Model Monitoring in Production
  10. CHAPTER 6: AI Is All About Trust
    1. Anonymizing Data
    2. Explainable AI
    3. Reducing Bias in Practice
    4. Rights to the Data and AI Models
    5. Legal Aspects of AI Techniques
    6. Operational Governance of Data and AI
  11. CHAPTER 7: Achieving Business Value from AI
    1. The Challenge of Leveraging Value from AI
    2. Top Management and AI Business Realization
    3. Measuring AI Business Value
    4. Operating Different AI Business Models
  12. Index
  13. Copyright
  14. Dedication
  15. About the Author
  16. About the Technical Editor
  17. Acknowledgments
  18. End User License Agreement

Product information

  • Title: Operating AI
  • Author(s): Ulrika Jagare
  • Release date: May 2022
  • Publisher(s): Wiley
  • ISBN: 9781119833192