Why We Started the AIIA and What It Means for the Rapid Evolution of the Canonical Stack of Machine Learning

Why We Started the AIIA and What It Means for the Rapid Evolution of the Canonical Stack of Machine Learning

by | Jan 7, 2022 | AI Hardware, AutoML, Data Lineage, Data Versioning, Feature Store, Governance, Hyperparameter Optimization, Infrastructure, Labeling, Logging, MLOps, MLOPs Landscape, Monitoring, Production

Just a few years ago, almost nobody was building software to support the surge of new machine learning apps coming into production all over the world.  Every cutting-edge tech company, like Google, Lyft, Microsoft, and Amazon rolled their own AI/ML tech stack from...