Can You Trust Your AI Before Your Customers Do?

Test LLM Applications for Quality, Security & Release Readiness Without Slowing Delivery

Join this practical webinar to discover how AI-Powered and Autonomous Quality Engineering can help QE, Engineering, and Product teams detect risks earlier, improve test coverage, and release AI applications with confidence.

Reserve Your Seat

Key Takeaways From This Webinar

Define AI Readiness: Translate business expectations into measurable quality criteria for accuracy, relevance, security, safety, and resilience.
Uncover Hidden Risks: Identify gaps traditional test automation and manual testing can miss.
Test Real-World AI Behavior: Explore AI-powered testing and Autonomous QE agents for diverse scenarios, edge cases, and adversarial prompts.
Detect AI Regressions Early: Identify behavioral changes caused by updates to models, prompts, RAG data, guardrails, and application logic.
Enable Continuous Quality: Evolve QE from a release-stage checkpoint into ongoing AI evaluation across the development lifecycle.

What You Will Learn

Automating Power BI & Tableau Testing

Understand how test automation can be applied across modern business intelligence environments.

Scaling Dashboard Validation

Explore approaches for validating dashboards and reports across complex enterprise environments without relying entirely on manual testing.

Improving Data Quality

Learn how automated validation can help identify inconsistencies between underlying data and what users see in dashboards.

Reducing Manual Testing Effort

See how automation can streamline repetitive dashboard validation activities and enable teams to focus on higher-value quality engineering work.

Building Trusted Business Intelligence

Understand how stronger testing practices can help organizations deliver more reliable dashboards and business insights.

Speaker

Ready to Rethink How You Test AI?

Your AI Doesn't Stop Changing After Release. Neither Should Your Testing.

Learn how AI-Powered and Autonomous Quality Engineering can help you continuously validate AI applications as models, prompts, data, integrations, and user behavior evolve.

Don’t Just Deploy AI. Deploy It With Confidence..

Frequently Asked Questions

01. What is Power BI testing?

Power BI testing involves validating Power BI reports, dashboards, data, calculations, visualizations, and business logic to ensure that reporting outputs are accurate and reliable.

02. What is Tableau testing?

Tableau testing involves validating Tableau dashboards, reports, visualizations, calculations, filters, data sources, and business logic to ensure that users receive accurate insights.

03. Why automate Power BI and Tableau testing?

Automation can help enterprises reduce repetitive manual validation, improve testing consistency, increase coverage, and accelerate dashboard regression testing.

04. Can Power BI and Tableau testing be performed at enterprise scale?

Yes. A scalable testing approach can automate validation across large numbers of dashboards, reports, data sources, and environments while reducing dependence on manual testing.

05. Who benefits from automated BI testing?

Quality engineering, data, analytics, BI, testing, and technology teams can use automated BI testing to improve dashboard reliability and reduce validation effort.