Your team knows what Tosca can do. End-to-end test automation, model-based testing, and continuous coverage across complex enterprise landscapes. That expertise puts you ahead of most.
But as AI moves from pilot projects into live business workflows, a new risk surface has opened up. AI works with your data, and if that data is inaccurate, incomplete, or drifting undetected across systems, the outputs your teams and customers are relying on may be wrong. AI is notorious for confidently giving wrong answers, and at a time when business users can query data directly for performance and revenue, wrong answers said confidently can lead to lost revenue and reputational damage.
In this webinar, we explore how Tricentis Data Integrity extends the testing approach you already trust to your data layer to ensure the foundation of your AI initiatives is trustworthy.
What you’ll learn:
Speakers:
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