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...
Why Governance Should Drive Your 2021 ML Strategy

Why Governance Should Drive Your 2021 ML Strategy

by | Jan 29, 2021 | Governance

In November, we conducted a survey with 400+ business leaders involved in AI/ML initiatives at their organizations and discovered the top 10 trends driving the industry in 2021. One of the key trends we discovered is that ML governance is by far the top challenge that...