Buch, Englisch
Principles for Building AI-First Organizations and Technologies
Buch, Englisch
ISBN: 978-1-394-37414-4
Verlag: Wiley
Transform AI potential into organizational results through the Applied Intelligence framework
More than 80% of AI projects fail – twice the rate of traditional IT initiatives. Architected Intelligence: Principles for Building AI-First Organizations and Technologies bridges the gap between executive vision and practical implementation by providing technical leaders with timeless frameworks that remain relevant as technology evolves. Drawing on their experience leading Pattern to become the world's largest ecommerce accelerator, authors Jacob Miller and Jeremy Mumford deliver actionable guidance for turning proofs of concept into production systems.
Architected Intelligence organizes AI success around five core components: - Design AI Systems to Deliver Impactful Output
- Power AI with High-Quality Input Data
- Engineer, Optimize, and Integrate AI Models
- Create Trust through Robust Observability
- Scale Transformation through Effective AI Enablement
Readers will discover the Service as a Software mindset to build AI-first capabilities, best practices to consistently manage context engineering at scale, and a clear playbook to maximize user trust by disaggregating trust into its underlying elements so each can be intentionally strengthened.
The book also provides: - Practical guidance on building AI workflows and agents incrementally, avoiding the all-or-nothing trap that cause project failures
- A democratization of expertise framework, including comprehensive unstructured data governance strategies including knowledge acquisition, curation, and AI-optimized search methods
- Repeatable processes for AI provider evaluation, model selection, hosting decisions, and advanced configurations
- Implementation strategies for monitoring inputs and outputs, establishing security and privacy controls, tracking resources, and building accessible AI foundations
- Guidance on the foundational platforms necessary to scale AI systems across an entire organization
Perfect for technical CEOs, CTOs, leaders in Data Science and AI, Directors of Engineering, and others shaping or executing AI strategies, Architected Intelligence serves as a foundational reference for decision makers who want to establish best practices and inspire the transformations necessary to sustainably harness AI's potential.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Dedication v
Acknowledgments ix
Introduction 1
COMPONENT 1: DESIGN AI SYSTEMS TO DELIVER IMPACTFUL OUTPUT
Chapter 1: Design for AI 19
Chapter 2: The AI Opportunity Funnel – From Possibilities to Priority 47
Chapter 3: Building Battle-tested AI-first Workflows and Agents 79
COMPONENT 2: POWER AI WITH HIGH-QUALITY INPUT DATA
Chapter 4: AI Unlocks the Potential of Untapped Data 125
Chapter 5: Connect Your Data in Your AI-First Organization 151
Chapter 6: Accelerate Knowledge Transformation with Curation and Feedback Systems 173
COMPONENT 3: ENGINEER, OPTIMIZE, AND INTEGRATE AI MODELS
Chapter 7: Maximizing Model Performance with Input Data 205
Chapter 8: Select and Optimize the Best Models 233
COMPONENT 4: CREATE TRUST THROUGH ROBUST OBSERVABILITY
Chapter 9: Adapting Software Engineering Observability Practices for AI Systems 261
Chapter 10: Adopting Data Science Observability Practices 293
COMPONENT 5: SCALE TRANSFORMATION THROUGH AI ENABLEMENT
Chapter 11: The People to Enable AI Transformations 335
Chapter 12: The Platforms that Power AI-First Organizations 361
Index 387
