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Leading Omdia analysts evaluate enterprise MLOps solutions, best practices, and frameworks

Omdia experts released a comprehensive report evaluating the state of enterprise MLOps to help enterprise AI practitioners make the right decisions to become truly AI-driven. Analysts survey 365 enterprises and give their assessment of enterprise AI, and an in depth overview of the emerging technology and solutions today. With this report, decision makers will understand the fundamentals of MLOps and how to operationalize and scale AI across the enterprise. 

What’s inside?

  • Survey of 365 enterprises on AI Market Maturity
  • Evaluation of MLOps solutions
  • Recommendations for buyers
  • Key challenges of building successful AI outcomes in the enterprise
  • MLOps principles and practices
  • Key features and requirements of MLOps platforms
  • Best management structure for enterprise AI
  • Future predictions for MLOps solutions

 

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Avi GabayDirector of Architecture at Playtika
As with many data science professionals, our team is hard to please. They want the flexibility to use any language, and the ability to write their own custom packages to improve performance, set configurations, etc. With cnvrg.io, this is the first time I’ve heard our data scientists and analysts say ‘when can we have it’.
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Working in a hybrid cloud environment has major advantages but can be increasingly complex to manage, especially for AI workloads. cnvrg.io has the potential to enable us to operate in a hybrid cloud environment seamlessly. The new ML infrastructure dashboard could fill a major need in connecting our infrastructure to ML projects. It provides visibility into our on-prem GPU clusters and cloud resources, paving the way for increasing the utilization and ROI of our GPUs.
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Bruce KingData Science Technologist at Seagate Technology Advanced Analytics Group
Lightricks is a research-driven company, which is why we’ve built a team with some of the top computer vision researchers in the country. cnvrg.io ensures our highly qualified researchers are focused on building the industry-leading AI technology that we are now world renown for, instead of spending time on engineering, configuration and DevOps.
Ofir Bibi
Ofir BibiHead of Research at Lightricks
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