
The Al wave is here, and QA teams are at a turning point. Powered by exclusive insights from the State of Software Quality Report 2025, this virtual summit will explore:
- The latest QA trends, challenges, and success strategies from top-performing teams.
- How AI, automation, and modern testing practices are reshaping quality assurance.
- Expert-led discussions featuring QA leaders, customers, and industry influencers.
- Stay ahead of the curve — don't just adapt to change, lead it.
Our Agenda
82% of QA organizations still rely on manual testing. 43% say short-release cycles are their biggest bottleneck. Yet, high-performing teams are pulling ahead-modernizing with Al, refining development practices, and investing in CI/CD.
We'll dive into the data from the State of Software Quality Report and reveal what separates high-performing QA teams from the rest of the pack.This session unpacks:
- The QA maturity divide: Why some teams accelerate releases while others stay stuck in firefighting.
- What sets high-performing QA teams apart: How leaders drive velocity without sacrificing reliability.
- Optimizing test coverage: Learn how to get the most out of your testing efforts.






70% of QA professionals say AI is critical to the future of quality. Yet, 46% cite skill gaps, 57% worry AI could replace jobs, and concerns around tool maintenance and integration complexity are growing. AI is here, but most teams are stuck watching from the sidelines.
This session breaks down:
- What AI can do in QA – Practical use cases beyond the buzzwords.
- AI as a career accelerator, not a job killer – How testers can adapt and stay relevant.
- AI adoption done right – Real-world lessons from teams successfully integrating AI.






Scaling QA isn’t about “doing more testing.” Or, more scripts ≠ better quality. Yet, 55% of teams say lack of time is their biggest challenge, 43% struggle with automation maintenance, and 30% face a crippling talent shortage. The result? QA teams drowning in work but barely moving the needle.
This session discusses:
- The scaling trap – Why most QA teams hit a wall despite investing in automation.
- The enterprise playbook – How top-performing teams scale QA without increasing headcount.
- Lessons from the trenches – What leading QA orgs get right about structure, tooling, and efficiency.






Half of QA teams can't secure adequate funding for tools and infrastructure. Yet companies with strong QA investment see 83% fewer defects and 77% higher customer retention, and 53% lower operational costs.
It’s time to flip the script. QA does deliver massive ROI when you know how to measure and communicate it. In this session, we’ll discuss:
- How to quantify QA's business impact through speed, quality, and operational efficiency.
- Why 45% of teams are dissatisfied with their QA vendors and the evaluation criteria that predict successful partnerships.
- What separates organizations seeing massive ROI from those barely breaking even, and how to join the top 21%.






QA isn’t just about catching what’s broken. It’s about ensuring everything works better, faster, and more reliably for customers. Yet, only 18% of teams have fully optimized QA processes, and 48% of leaders still struggle to position QA as a business driver.
This roundtable will explore how leading companies are redefining quality to drive business success. We’ll dive into:
- QA as a driver of customer experience: Learn to make quality a key part of your customer strategy.
- Building a culture of quality: Implement strategies to standardize, automate, and optimize QA.
- The future of QA teams: What skills, mindsets, and strategies will define tomorrow’s top QA teams?










Our Speakers













- and actually dialed in! Wonderful session!

- AI-powered automation is reshaping QA workflows:
AI is not replacing testers—it’s enabling them to automate thousands of test cases in minutes, optimize test coverage, and reduce manual effort, allowing QA teams to focus on strategy rather than repetitive tasks.
- The balance between AI adoption and trust:
While AI-driven test generation and self-healing automation reduce maintenance efforts, trust remains a key challenge. Organizations must take a "trust but verify" approach, ensuring AI-driven results are reliable before full-scale adoption.
- Long-term success requires strategic maintenance:
Many QA teams struggle with automation sustainability. Without proper maintenance planning, AI-powered test automation can become costly and ineffective. Investing in modular test design, reusable components, and clear test ownership is crucial for long-term ROI.