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APR 24, 2025
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KATALON VIRTUAL SUMMIT 2025
Software Quality in the AI-First Landscape

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.
5
insightful sessions
12
expert speakers
7
industry partners
Ready to step into the future of QA?
Reserve a spot
Quality KioskLTI MindTreeDeloitteTesting XpertsXrayKJRMinistry Of TestingQuality KioskLTI MindTreeDeloitteTesting XpertsXrayKJRMinistry Of Testing

Our Agenda

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The state of QA in 2025: Trends, tools, and team insights
Hemalatha Murugesan
Sérgio Freire
Lucio Daza

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.
Hemalatha Murugesan
Hemalatha Murugesan
Associate Vice President
Sérgio Freire
Sérgio Freire
Director of Solution Architecture and Testing Advocacy
Lucio Daza
Lucio Daza
Vice President Product Marketing
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Al in QA: The hype and the reality
Michael Giacometti
Lyndon D'Souza
Lucio Daza

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.
Michael Giacometti
Michael Giacometti
VP of AI and QE Transformation
Lyndon D'Souza
Lyndon D'Souza
Quality Assurance Manager
Lucio Daza
Lucio Daza
Vice President Product Marketing
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Scaling QA in the Enterprise: A practical playbook that works
Priyanka Halder
Jason Lee
Lucio Daza

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.
Priyanka Halder
Priyanka Halder
Vice President of Quality Assurance
Jason Lee
Jason Lee
Partner, Quality Engineering
Lucio Daza
Lucio Daza
Vice President Product Marketing
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Achieving ROI: The business case for QA investments
Andrew Hammond
Suraj Jadhav
Lucio Daza

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%.
Andrew Hammond
Andrew Hammond
General Manager
Suraj Jadhav
Suraj Jadhav
Vice President, Product Reliability
Lucio Daza
Lucio Daza
Vice President Product Marketing
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The future of QA: Beyond bug hunting to core business driver
Rosie Sherry
Joe Colantonio
Danielle Forier
Alex Martins
Lucio Daza

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?
Rosie Sherry
Rosie Sherry
Founder & CEO
Joe Colantonio
Joe Colantonio
Founder
Danielle Forier
Danielle Forier
Software Quality Assurance Analyst
Alex Martins
Alex Martins
Vice President of Strategy
Lucio Daza
Lucio Daza
Vice President Product Marketing
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Reviews from previous webinars
Register now
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Really glad I put this in my calendar
- and actually dialed in! Wonderful session!
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Simon Rigler
Head of Testing & QA, Analytics & AI division
Watch previous webinars
SEASON 2 EPISODE 4
The QA roundup: Must-see lessons from this season’s talks
Take away
This episode brings together the best insights from all episodes of season 2, offering a comprehensive look at key trends, challenges, and breakthroughs shaping the future of QA.
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    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.

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    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.

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    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.

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