From Models to Production: How an Energy Company Industrialized AI with MLOps

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This case study describes how NTT DATA implemented a modular, cloud-agnostic MLOps system for an Italian renewable energy company to manage, deploy, and monitor machine-learning models at scale. Built on Kubernetes and Azure, the solution centralized training, model versioning, monitoring, and retraining workflows using open-source tools. The platform automated ML lifecycle management, reduced time to market, and freed data scientists to focus on innovation rather than operations, while remaining flexible for future cloud or data-platform migrations.

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From Models to Production: How an Energy Company Industrialized AI with MLOps

From Models to Production: How an Energy Company Industrialized AI with MLOps

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