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DISTRIBUTED INSTRUMENTAL PLATFORM FOR DEVELOPMENT AND SUPPORT OF DIGITAL ARTIFICIAL INTELLIGENCE OBJECTS BASED ON BIG DATA

SKU0043
DESCRIPTION

The platform is designed to support the full lifecycle of machine learning model creation projects based on big data. It enables efficient organization of the workspace, management of model development and training processes, and utilization of distributed computational resources of various architectures. By analyzing the source data, including task formulation, data sets, available computational power, and the development team, the platform creates a trained and documented machine learning model that can be successfully implemented on distributed computing resources.

ADVANTAGES OF THE DEVELOPMENT

  • Support for projects with a flexible role model and organized workspace on top of the distributed computational infrastructure for model development and training
  • Effective management of distributed computing resources using "hot" containerization
  • Efficient storage and preprocessing of distributed large data sets, considering their structural and semantic specifics
  • Reduction of development time by up to 20% and an increase in the efficiency of distributed computational resource usage by 1.5 to 2 times