MLOps

MLOps (Machine Learning Operations) is the set of processes, technologies, and best practices that make AI solutions manageable, scalable, and secure. It brings together machine learning, IT management, and data governance into a single, integrated process.

At Puur Data, we ensure that your AI not only works well but is also explainable, verifiable, and compliant. MLOps is therefore the indispensable foundation for any sustainable AI application.

• Model lifecycle management – From training and validation to deployment and updates: ensure every model is traceable and functioning correctly.
• Monitoring & alerts – Receive notifications for data pattern deviations, performance drops, or ethical conflicts.
• Data drift detection – Identify when reality deviates from your training data – and take action.
• Audit trail & compliance – Record which models run, what data they train on, and how decisions are made.
• Governance & security – Mitigate risks with access control, version control, and built-in ethical frameworks.

• Reliable models in production – No experiments, but robust AI with version control, logic and fallback mechanisms.
• Fully compliant – Complies with GDPR, AI Act, and internal audit requirements.
• Monitoring & adjustment – Discover data drift, measure usage and optimize performance in practice.
• Repeatable & scalable Training one model is fine. Managing ten? Then you need MLOps.
• Explainability as a starting point – Always insight into how and why an AI reaches a conclusion (XAI).