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.
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.
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.
MLOps World begins (soon!) on June 14, and it’s full of interesting sessions covering methods, principles and best practices for bringing ML models to production.
We're sharing our top picks from ODSC Europe. These sessions are a great opportunity to learn from the top data science professionals in the industry.
We’re delighted to announce the release of the Iguazio Data Science Platform version 3.0.