The future of the data warehouse was on full display at Teradata Possible 2025 in Los Angeles, and a central theme was the power of AI to transform platform operations. One of Europe’s most respected banking institutions, Raiffeisen Bank International (RBI), took the stage to share how AI-driven monitoring and trend analysis from digna is transforming the way complex data warehouse operations can be managed and stabilized.

The session, moderated by Nathan Green, featured Mario Stegbauer, Head of Data Warehouse Platform at Raiffeisen Bank International AG (RBI), who highlighted the real-world benefits of leveraging innovative AI solutions to optimize performance and foster trust in data systems built on Teradata — helping data teams anticipate issues before they impact business users.

AI-Driven Monitoring for Complex Data Environments

During his wrap-up session, Mario demonstrated how digna enables data teams to identify anomalies and performance degradations early, thanks to machine-learning models that continuously learn from operational metrics. He noted that the ability to move from a reactive, firefighting mode to a proactive, optimized state is the key to minimizing conflicts and regaining operational peace of mind.

By analyzing job behavior, resource usage, and workload trends directly inside the Teradata environment, digna helps organizations detect deviations before they become incidents.

This approach eliminates the overhead of traditional rule-based monitoring, empowering data teams to act proactively instead of reactively.

Why This Matters for Enterprise Data Teams

In highly regulated industries like banking, ensuring data performance and reliability isn’t just about compliance — it’s about trust. digna’s AI-powered modules, such as Data Anomalies and Data Analytics, provide automated observability that scales effortlessly across thousands of data tables without exporting sensitive data outside the organization’s infrastructure.

The collaboration highlights how European AI innovation can drive reliability and transparency even within the most complex data ecosystems.

How digna Creates a Safety Net on Teradata

The core technology behind this operational excellence is digna's unique approach to platform observation, specifically designed for systems like Teradata:

digna leverages AI to automatically learn your data’s normal behavior that lives in your Teradata platform and continuously monitors for unexpected changes—no manual setup or rule maintenance required.

This means the traditional burden of setting and maintaining thousands of manual monitoring rules is lifted. The digna AI platform automatically builds a holistic baseline of the Teradata system's performance, resource consumption, and data flow. It then uses this baseline to detect true anomalies and significant deviations that signal impending performance issues.

Key benefits of digna highlighted at Teradata Possible 2025:

• Avoid Frictions: Proactive alerts on potential issues minimize surprises for business users, reducing the chance of costly escalation meetings.

• Proactive Performance Management: AI-powered trend analysis identifies gradual degradations and future resource needs, enabling optimization long before a crisis.

• Continuous Monitoring: The platform provides an automated, ever-learning safety net, ensuring the data system remains reliable and efficient.

A Milestone for digna on the Global Stage

For digna, being featured at Teradata Possible 2025 marks a significant moment — demonstrating how European technology can compete and collaborate with leading global enterprises.

digna is proud to partner with industry leaders like RBI and organizations across banking, healthcare, and public sectors to deliver AI-powered data quality and observability that enhance operational confidence and decision-making.

Book a demo today to learn more about digna’s AI-powered data quality and observability platform — built in Europe, trusted worldwide.