AI agents generate APIs faster than traditional CI/CD pipelines can govern, creating blind spots for breaking changes and compliance drift. Discover how to implement AI-native governance that matches agent velocity, catching risks the moment code is written without slowing down development teams.

Scale performance testing without discarding existing Apache JMeter investments. Modernize current JMeter scripts into a cloud-scale engine, enabling seamless CI/CD integration, centralized analytics, and massive load tests to accelerate software delivery without rebuilding from scratch.

Replace flaky AI testing with deterministic, enterprise-grade solutions. By leveraging an MCP-based approach, teams can achieve consistent results, automatically validate live UIs directly against Figma designs, and use plain-English, intent-based automation to create self-healing tests immune to DOM shifts, ultimately restoring trust in the QA process.

Scaling test automation beyond a single team introduces complex architectural challenges. Learn how to evolve a basic framework into an enterprise-grade platform. Using Playwright as a model, this session explores universal building blocks and structural pitfalls to help you design scalable, maintainable automation without technical debt.

When AI writes code faster than you can test, release confidence drops. Learn how to close this gap by integrating AI test management directly into your workflows. This session, featuring a SmartBear Zephyr demo, shows how to create a scalable, auditable testing pipeline while maintaining essential human control.

Rapid AI code generation creates massive testing bottlenecks across test creation, pipeline execution, and failure triage. Utilizing AI agents to orchestrate pipelines, automate root-cause analysis, and resolve test failures allows engineering teams to accelerate quality and scale delivery without sacrificing system reliability or control.

When AI accelerates code generation, the entire software delivery lifecycle changes. Discover how to build modern software teams where specialized agents and humans collaborate side by side. Learn how specifications replace traditional backlogs as the source of truth, and gain a concrete model for integrating autonomous agent execution into your workflows.

Tired of brittle tests and endless selector maintenance? Discover how image-based automation and self-healing scripts keep your tests running even when UI elements move. This quick, technical demo compares Selenium with Keysight Eggplant to show you how to build resilient, cross-application test automation that scales.

Accelerate deployment without sacrificing quality. This live demo explores how to leverage AI tools like Amazon Bedrock within your QA workflow to close critical test coverage gaps. Learn to manage the unique risks of AI-generated code, unify manual and automated testing, and instantly turn test data into natural-language release signals.

AI-accelerated development is forcing a fundamental shift in software governance. This session examines how engineering and QA teams must redefine traditional handoff models, team structures, and release criteria when manual code review cannot keep pace, ultimately transforming the QA function from an execution gatekeeper into a strategic quality orchestrator.

As pixel-by-pixel testing erodes under brittle release cycles and unpredictable LLM outputs, teams face a critical stability gap. This roundtable moves past the AI hype to deliver stable, hybrid testing architectures, providing practical frameworks to merge image-based and object-based automation without sacrificing deterministic regression pipelines.

With 99% of enterprise organizations waiting days to weeks for compliant test data, traditional management processes are stalling delivery. This technical webinar explores frameworks to automate and scale Test Data Management, examining AI readiness, data compliance, and the strategic roles of synthetic versus masked data to eliminate wait times.

Frequent enterprise application updates and complex integrations have made manual testing unsustainable. This webinar explores shifting from manual regression to agentic software testing, demonstrating how AI agents augment human testers with automated generation and self-healing scripts to maintain stability, close the scalability gap, and secure release confidence across mission-critical workflows.

Tired of tool switching and manual reporting? Learn how the Zephyr Agent for Rovo brings AI-powered test intelligence directly into Jira. Learn how to surface coverage gaps, assess release risk, and generate structured test cases—all within a single Jira session to ensure fast, confident, and traceable software delivery.

Struggling with slow regression and brittle scripts? Join our working session to see how AI agents and self-healing automation in UiPath Test Cloud conquer modern ERP complexity. Learn to accelerate authoring with Autopilot, eliminate maintenance bottlenecks, and achieve 90% coverage across end-to-end business processes like SAP and Salesforce.