Architected Intelligence : Principles for Building AI-First Organizations and Technologies.

Format:

Book

Author/Creator:

Miller, Jacob.

Language:

English

Physical Description:

1 online resource (411 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2026.

Summary:

Most AI initiatives fail.Transform AI potential into organizational results through the Architected Intelligence framework.The gap between a dazzling "cool demo" and a reliable, production-grade system is a chasm that is swallowing teams and entire organizations.

Contents:

Cover

Half Title Page

Title Page

Copyright

Contents

Dedication

About the Authors

Acknowledgments

Foreword

Introduction

COMPONENT 1: DESIGN AI SYSTEMS TO DELIVER IMPACTFUL OUTPUT

Chapter 1: Design for AI

Chapter 2: The AI Opportunity Funnel - From Possibilities to Priority

Chapter 3: Building Battle-tested AI-First Workflows and Agents

COMPONENT 2: POWER AI WITH HIGH-QUALITY INPUT DATA

Chapter 4: AI Unlocks the Potential of Untapped Data

Chapter 5: Connect Your Data in Your AI-First Organization

Chapter 6: Accelerate Knowledge Transformation with Curation and Feedback Systems

COMPONENT 3: ENGINEER, OPTIMIZE, AND INTEGRATE AI MODELS

Chapter 7: Maximizing Model Performance with Input Data

Chapter 8: Select and Optimize the Best Models

COMPONENT 4: CREATE TRUST THROUGH ROBUST OBSERVABILITY

Chapter 9: Adapting Software Engineering Observability Practices for AI Systems

Chapter 10: Adopting Data Science Observability Practices

COMPONENT 5: SCALE TRANSFORMATION THROUGH AI ENABLEMENT

Chapter 11: The People to Enable AI Transformations

Chapter 12: The Platforms that Power AI-First Organizations

Index

EULA.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-394-37417-8

1-394-37415-1

1-394-37416-X

9781394374151

OCLC:

1579544624