From real-time fraud detection to AI-assisted diagnostics in MedTech, high-risk applications demand more than innovation – they require governance that’s built-in from the start.
Integrating compliance from day one isn’t optional. Rework is costly, delays product approvals, and risks losing ground to competitors who embed trust and transparency early.
Our latest white paper explores how embedding Governance as Code into MLOps streamlines EU AI Act compliance, helping organizations scale with AI more quickly, safely, and efficiently. In this white paper, we’ll explore:
- How new regulations, including the EU AI Act, are reshaping how organizations develop and deploy AI
- The advantages of adopting Governance as Code (GaC)
- The benefits of automating and standardizing the ML lifecycle with MLOps
- Ways to automate policy enforcement across the ML lifecycle
- How integrating GaC into MLOps supports consistent EU AI Act compliance
- Practical examples and tools for automating AI compliance
Download this white paper
