Tenaris
When legacy data infrastructure limits business evolution
Industry
Manufacturing
Technologies used
The challenge
Tenaris operated across multiple distributed systems and data sources that made integration and timely access to information increasingly difficult. Legacy architectures supported daily operations but were not designed to scale or incorporate advanced analytics and Artificial Intelligence, forcing teams to address structural constraints before launching new initiatives, slowing business evolution and limiting the organization’s ability to innovate.
The solution
GIGA IT modernized the data and AI platform end to end, transforming it into a scalable foundation for advanced analytics and AI. We unified fragmented data sources and implemented a cloud-native lakehouse architecture, enabling consistent and governed access to data across the organization. We developed batch and streaming pipelines with governance, lineage, and security by design, and enabled MLOps environments to support the development, deployment, and scaling of AI models on top of the platform, at enterprise scale.
The results
- A unified, scalable data platform supporting analytics and AI across regions and systems.
- Accelerated deployment of advanced analytics and AI use cases on a governed, production-ready foundation.
- Reduced technological friction for new developments and integrations.
- Faster and more reliable decision-making enabled by trusted, near real-time data.
Modernizing our data platform allowed us to remove long-standing constraints. We can now access trusted data faster, support advanced analytics, and evolve our AI initiatives without reworking the foundations each time.
Technology Leader
Facing similar challenges to Tenaris?
We can help.
