Different usages of Machine Learning Open Studio
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Machine Learning Open Studio from Activeeon has been designed for different types of users to build machine learning pipelines and meet their profession-specific needs : non-AI engineers, data analysts, data scientists, AI architects.
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ActiveEon is a spin-off from INRIA, French Institute for Computer Science. The core technology of ActiveEon was initially developed by a team of about 40 developers and researchers, and has been heavily improved since by ActiveEon R&D team. ActiveEon is also a Docker member and was laureate of the IT Forum for Innovation prize in 2016.
ActiveEon has recently raised significant fund (1M euros) from local and foreign investors: PACA Investissement, BA06, Nestadio Capital, and Kima Ventures, Xavier Niel’s fund).
ActiveEon is now an Open Source ISV (Independent Software Vendor) providing innovative solutions for IT automation, acceleration and scalability, Big Data, Internet of Things, Distributed and parallel applications. ActiveEon offers ProActive, a software available in SaaS mode, both in the Cloud and on premises:
• ProActive Workflows & Scheduling: a complete workload scheduler that distributes and simplifies the execution of applications, featuring a workflow orchestrator and a resources manager.
• ProActive Parallel Scientific Toolbox: toolboxes that allow the distribution and the acceleration of Matlab, Scilab and R Language on Clusters, Grids or Clouds, also featuring data transfer and License cost optimization.
• ProActive Cloud Automation: automates the deployment and management of complex multi-VMs applications, manages heterogeneous and hybrid environments (multi-vendor private, public and hybrid clouds).
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