The AI Infrastructure Alliance's
Core Values and Objectives
•
Establish a canonical stack for Artificial Intelligence (AI) and Machine
Learning (ML) Operations (MLOps)
•
Develop ideal best practices and architectures for doing AI/ML at scale
in enterprise organizations
•
Foster openness for algorithms, tooling, libraries, frameworks, models
and datasets in AI/ML
•
Advocate for technologies, such as differential privacy and
homomorphic encryption, that helps anonymize data sets and protect
privacy
•
Work towards universal standards and APIs to share data, metadata,
and artifacts between AI/ML applications.
