From identifying the business requirement to training ML models and maintaining them, MLOps services by Sigmoid brings together the best talent in Data Engineering, DataOps, and Machine Learning across the entire lifecycle to drive analytics success.
- Setting up the right data lake and enabling scalable computing resources from the start
- Choosing a Tech stack that ensures interoperability in modeling techniques and model Re-trainability
- Adopting the right coding practices and following the right integration approach
- Monitoring the model performance, carrying out periodic health checks, and automating model updates to eliminate model drift