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1、AI InfrastructureEcosystem2022Version 202207210011Table of ContentsManagement SummaryIntroduction The Three Approaches to AI/ML Platforms Build Your Own End-to-End Best of BreedThe Blueprint and the LandscapeOrchestration,Pipelines and Compute Engines The Two Types of Orchestration Compute Engines D

2、ata 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 The Next Five YearsModel Deployment and Serving Introduction Deployment Workflows Servin

3、g Patterns of Deployment Current Trends and the Next Five Years The Next Five YearsAI Supervision:Monitoring,Observability and Explainability Introduction Overview of Monitoring,Observability and Explainability Survey of the Field Understanding Monitoring,Observability,Explainability and Data Qualit

4、y Capabilities in AI/ML Systems Monitoring and Observability Explainability Explained Data Quality Current Trends and the Next Five Years35668101214181921252629293031323535394142434446474949 5152532 The Next Five YearsTraining Introduction Distributed Training and Training Multiple Models Supercompu

5、ters versus the Cloud Current Trends and the Next Five Years The Next Five YearsData Versioning,Lineage and Metadata Introduction Database Versioning File and Object Store Data Versioning Data Lineage Current Trends and the Next Five Years The Next Five YearsLabeling Introduction Understanding the B

6、asic and Advanced Capabilities of Labeling Platforms Advanced Capabilities Current Trends and the Next Five Years The Next Five YearsFeature Stores Current Trends and the Next Five Years The Next Five YearsSynthetic Data A Survey of Platforms Current Trends and the Next Five Years The Next Five Year