Six weeks ago we launched the first-ever “MLOps for Good” virtual hackathon, to foster projects with a positive social impact that bring data science to production. Read our roundup of some of these incredible projects.
In part 2 of the guide to using Azure ML with the Iguazio feature store, we cover data ingestion and transformation into the feature store.
The rapid progress in AI/ML has propelled the emergence of new mobility application scenarios that were unthinkable just a few years ago. What is the ideal way to process data efficiently and cost-effectively in a connected car world?
Enterprises struggle with data silos that slow innovation. By implementing analytics tools like Azure Synapse along with Iguazio's feature store, enterprises can build a single pipeline and rapidly run AI/ML.
We’re delighted to announce the release of the Iguazio Data Science Platform version 3.0.