There is a new term that’s gaining traction called MLOps. Putting machine learning models into production isn’t like your normal software engineering projects. There are long-term issues that need to be addressed such as model drift. The MLOps teams are tasked with this long-term
The Advanced Technology Academic Research Center (ATARC) is a 501(c)(3) non-profit organization that provides a collaborative forum for government, academia and industry to resolve emerging
Carahsoft is a trusted Government IT Solutions Provider working with reseller partners, system integrators, and manufacturers to proving leading IT solutions to government markets.
Allegro AI makes ML and DL researchers more effective by giving them tools to manage their own experiments and data. The company’s open source ClearML
Comet provides a self-hosted and cloud-based MLOps solution that enables data scientists and teams to track, compare, explain and optimize experiments and models.
DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.
Production AI Model Management at Scale
Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment. A single, production-grade environment for all your SAS, R, Machine Learning, and Regression model needs
Modzy is the secure ModelOps platform that enables AI at enterprise scale. Modzy solves last mile challenges with deploying, managing, monitoring and securing AI models in production systems, allowing teams to start seeing the real value of AI.
Pactera EDGE is a global digital and technology services company. We design, build and optimize human-centric intelligent digital platforms.
As the leading provider of Intelligent Automation, SS&C Blue Prism helps the intelligence community accelerate their data centric mission
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Zorroa’s no-code ML integration platform makes process automations with machine learning APIs from GCP, AWS, and Azure accessible in under an hour. Its platform enables media technologists to stand up rapid-cycle experiments and scale their ML projects without code, data prep, or vendor lock-in.
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