Table of Contents

OBJECTIVE


Multiple Data Scientist with leading Airport software provider developing models for different languages and framework.

Platform required where the Models can be managed, re-trained, scaled for data, deploy in production with different environment.

Our Solution

Using open source MLOps tools, built a AI workbench where models can be registered, re-trained and deployed with a seamless UI feature.

Provides ability to scale on large data & models can run in real time. Logging feature and access control been provided. Complete API led development.

IMPACT

  • Improvement in collaboration between data scientist resulted in cross pollination increasing 40% reusability
  • Model management reduced from days to hours
  • Scalability, better operations handling and quick deployment across multiple platform improved GTM
MLOps for leading IT Service Provider in APAC