Trusted data, faster releases
Enterprise data moves across more systems, applications, APIs, and business workflows than ever before. Every upgrade, integration, migration, or release can introduce risk: broken data flows, inconsistent records, failed validations, reporting errors, or downstream process defects that are hard to catch with manual testing alone.
Join UiPath for this discussion on agentic data testing, where AI agents help testing teams accelerate validation across data-heavy business processes. We’ll explore how agentic software testing can support integration testing, migration testing, regression testing, enterprise system testing, API validation, synthetic test data generation, and end-to-end business process assurance.
Learn how UiPath Test Cloud helps testing teams:
- Use AI agents to generate tests, identify coverage gaps, analyse failures, and surface actionable insights
- Validate data integrity across systems, APIs, databases, and enterprise applications
- Automate end-to-end data testing across all databases and platforms such as Hana, Oracle, SQL Server, Snowflake, Databricks, both on-premises, and cloud.
- Reduce manual validation effort while improving release confidence and governance
We’ll show how agentic data testing replaces slow “stare-and-compare” and traditional automation with scalable, low-code testing that runs in parallel, auto-generates transformation logic from business prompts, and flags mismatches before bad data hits reports and decisions.
Speakers
