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Tag: MLOps

A ‘Breakout Year’ for ModelOps, Forrester Says

The rapid maturation of machine learning operations (ModelOps) tools is leading to a “breakout year” for ModelOps, Forrester says in a recent report. The ML lifecycle is a potential nightmare for many organization Read more…

MLOps Vendor dotData Boosts Automation with Containers

As data science platforms expand across enterprise applications like predictive analytics, automated machine learning vendors are steadily integrating AI models with emerging infrastructure to ease deployment and orchest Read more…

Growing Focus on MLOps as AI Projects Stall

As a growing percentage of enterprise AI projects stall, data science platform vendors are teaming with cloud and data management specialists to move AI projects from the model-building stage to production workloads. Read more…

An Open Source Alternative to AWS SageMaker

There’s no shortage of resources and tools for developing machine learning algorithms. But when it comes to putting those algorithms into production for inference, outside of AWS’s popular SageMaker, there’s not a Read more…

DataRobot Snags Data Prepper Paxata

Automated machine learning softer provider DataRobot yesterday announced the acquisition of Paxata, a provider of self-service data preparation and data fabrics. And it didn’t take DataRobot long to release the first n Read more…

It’s Time for MLOps Standards, Cloudera Says

Just as operational standards have been established for data management via DataOps, the industry needs to create open standards for machine learning operations, or MLOps, according to Cloudera, which today unveiled a ca Read more…

ParallelM Aims to Close the Gap in ML Operationalization

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…

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