Learn to scale AI testing with a proven roadmap. This session explores the stages of AI maturity, offering strategies to overcome adoption roadblocks like team enablement and budget justification. Discover how to evaluate your current position and achieve tangible outcomes, including reduced maintenance and expanded multi-platform coverage.

Stop struggling with manual execution on locked-down hardware. This session explores why conventional automation fails air-gapped systems and introduces a non-invasive, vision-based approach. Learn to run unattended regressions and secure audit-ready evidence across multiple embedded devices—without touching the code or installing agents on your hardware.

Cut through the noise and overcome AI fatigue. This session provides a practical blueprint for integrating AI into your testing strategy. Learn to move past the hype by focusing on deterministic automation, governed workflows, and controlled application to improve coverage and speed delivery without sacrificing reliability.

Stop providing metrics that your CIO ignores. This session reveals how to transform technical data into high-impact KPIs by focusing on risk-based coverage and unified visibility. Learn to align manual and automated testing into a single, credible view of quality that demonstrates real value to the organization.

Stop letting performance testing stall your releases. This practitioner-led session reveals how to scale JMeter into an automated "Performance Gate." Learn to move beyond ad-hoc load tests by integrating AI-driven baselines and smart thresholds directly into your CI/CD pipeline for faster, more stable software delivery.

While AI and Playwright accelerate test creation, faster coding doesn't guarantee quality. This session explores why agentic development makes the QA role more critical than ever. Learn to identify where automated strategies fail at scale and how modern practitioners ensure reliable quality signals that align with true business needs.

Moving beyond basic AI features, this session explores how orchestrated agents create a self-healing, resilient testing environment. Learn how to build and customize autonomous agents that reduce maintenance and accelerate delivery, shifting your strategy from feature-level automation to a fully orchestrated era of software quality.

Software testing is shifting from manual scripting to autonomous, AI-driven agents. Join UiPath to explore how intelligent assistants reason and adapt across the lifecycle, reducing maintenance while scaling quality in complex enterprise environments through live demos and expert-led strategy.

Many AI testing tools automate faster but fail to solve the fundamental problem of test fragility. This session bridges the gap between marketing hype and enterprise reality, exploring why platforms fail at scale. Learn to identify brittle script runners and discover the scalable AI capabilities required to maintain quality and confidence in complex, modern testing environments.

In this session, industry leader Tariq King, PhD reimagines the future of quality through the lens of Human Experience Testing (HXT) – an emerging testing discipline that evaluates the digital, physical, and experiential touchpoints shaping how people interact with technology.

Join us as we share how leading teams are moving QA out of firefighting mode and turning it into an enabler of faster delivery, better customer experiences, and real business value.

This webinar explores how generative AI and intelligent agents are transforming software testing. It focuses on augmenting, not just automating, QA by using AI to drive velocity and value. The session covers the benefits of AI-driven testing, required organizational changes, and real-world examples of this shift.

Drawing on real-world experiences, we will cover why legacy applications pose unique challenges, how to overcome these obstacles with proven testing approaches, and practical strategies for automating brittle or outdated technologies.

This webinar explores how the stakes for API quality have changed in our AI-driven landscape and demonstrates practical approaches to expand testing beyond development teams. We'll examine the relationship between APIs and AI systems, showing why solid API foundations are essential for reliable AI applications.

Join us to learn 1) how automation and model-driven testing can cut test maintenance, increase coverage, and free you from regression drudgery, 2) where AI really adds measurable value — and where it’s just marketing noise, and 3) the skills, metrics, and governance practices testers need to prove their value and stay ahead.