ELEKS Data Science Platform (eDSP)

作成者: Eleks

eDSP - automated machine learning model management (MLOps)

The ELEKS Data Science Platform (eDSP) has been developed to take the pain out of machine learning model management, allowing your team to deploy and manage models with ease. Save significant time and money, while freeing up valuable internal resources to focus on your core business. And expand your analytics capabilities to drive efficiency and performance with streamlined integration, you can start getting benefits from your model faster. Based on Kubernetes — the most widely-used container orchestration system — eDSP is scalable, flexible and available anywhere
eDSP benefits:
  • Deliver data science projects up to 2x faster.
  • Slash project costs by up to 40% with significantly less spend on DevOps and development.
  • Reduce the burden of operational tasks – so your data scientists can focus on generating actionable insights.
  • Significantly lower the cost and complexity of model support.
  • Reduce the risk of vendor lock-in with a cloud-agnostic setup.
  • Detect failures rapidly with out-of-the-box monitoring.
  • Achieve a high standard of security.
  • Create machine learning models via AutoML – with no prior data science expertise needed.