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Struggling with Machine Learning? You’re Not Alone Editor’s note: Today’s post was originally published on the DataRobot blog on October 21, 2021. Today’s organizations are up against a great machine learning paradox. Most are investing more than ever in artificial intelligence and machine...
Algorithmia joins forces with DataRobot to deliver best-in-class MLOps in the enterprise AI platform
I’m excited to announce that Algorithmia is being acquired by DataRobot. Together, DataRobot and Algorithmia will deliver best-in-class MLOps as part of the leading, end-to-end enterprise AI platform.
Advanced reporting and governance capabilities are now available for Algorithmia Enterprise customers
Our new, advanced reporting tools for effective governance are now available for all Algorithmia Enterprise customers. Get started now.
Learn how Merck is using Algorithmia’s MLOps platform to accelerate vaccine research and discovery.
Use new Kafka event-driven algorithm workflows to automate models in production and maximize their impact
We’ve added Apache Kafka to our Event Flow offerings, enabling you to build flexible, automated machine learning workflows and maximize their business impact.
We’ve expanded our SCM integrations to include GitLab, Bitbucket Cloud, and Bitbucket Server so you can implement best practices for machine learning across the lifecycle.
We’re partnering with New Relic to help organizations track the performance of their models in production, enabling you to build more intelligent applications and maximize their impact.
Algorithmia has been recognized as a leader in GigaOm’s Radar for Evaluating Machine Learning Operations (MLOps).
We’re excited to share that Arize AI and Algorithmia are partnering to help organizations deliver more models to production, maximize their performance, and minimize model risk.
We’re excited to share our new integration with MLflow, a popular open-source platform for managing various stages of the ML lifecycle.