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Table of Contents
Management Summary
Introduction
The Three Approaches to AI/ML Platforms
Build Your Own
End-to-End
Best of Breed
The Blueprint and the Landscape
Orchestration, Pipelines and Compute Engines
The Two Types of Orchestration
Compute Engines
Data Engineering Orchestration and Pipelines
Experimentation Pipelines
Loosely Coupled and Tightly Coupled Orchestrators
Metadata Engines, Experiment Trackers and Visualizers
Current Trends and the Next Five Years
Model Deployment and Serving
AI Supervision: Monitoring, Observability and Explainability
Training
Data Versioning, Lineage and Metadata
Labeling
Feature Stores
Synthetic Data
AI Infrastructure Ecosystem
Conclusions and Wrap-Up
Glossary
Summary
Intelligence is the great competitive advantage in history. It’s not just whether we have it, but whether we can wield it effectively. But over the last decade, intelligence has undergone a profound change... [Summary continues]