Data platform operations and MLOps

Operating your Data & AI Environment

We maintain and evolve your fully operational data and AI environment to ensure efficiency and security.

  • Maintain and operate your data platforms, analytical solutions, and AI/ML algorithms
  • Secure your data infrastructure
  • Implement effective governance and risk management frameworks

We advise and help implement MLOps principles and consult data governance frameworks.

1

Data Platform operations and maintenance

Our data experts will ensure your analytics infrastructure is secure and operating efficiently.

2

MLOps – operating and maintaining ML algorithms

After deployment, our machine learning engineers help your team manage the ML algorithm's life cycle. MLOps is an emerging concept that brings DevOps-like practices into the ML field and helps firms leverage ML efficiently. With MLOps, we ensure model reliability and re-usability, reducing the duplication of technology and processes while enabling automation.

3

Governance and risk management

Our team can help you address the specific data governance challenges and opportunities AI and ML present. In line with the data platform and MLOps, we’ll also recommend a suitable governance framework, including model development, operation, and risk management guidelines.

4

Automation and orchestration

We will implement and automate tasks like model updates and environment cleanups and monitor governance protocols to ensure your operations remain compliant and adhere to specific business rules.