2.1
Data Platform operations and maintenance
Our data experts will help in the secure operation and maintenance of your analytical infrastructure.
2.2
MLOps – operating and maintaining ML algorithms
After deployment, our machine-learning engineers ensure that your ML algorithms remain current, managing your ML algorithm lifecycle. MLOps is an emerging concept to bring DevOps-like practices into the ML field and help firms leverage ML efficiently. With MLOps, we ensure model reliability and reusability, reducing the duplication of technology and processes while enabling automation.
2.3
Governance and risk management
In line with the data and MLOps, we’ll also recommend a suitable governance framework including guidelines for model development, operation, disposal, inventory, registration and risk management, then with independent internal audits.
