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Europe's Largest Quality Engineering Conference

Track Talk T4

Reactive to Proactive: AI in Predictive Quality Assurance

Venkat Edagottu

11:00 - 11:45 CEST Thursday 5th June

Predictive quality assurance is emerging as a game-changer in the software testing domain, driven by advancements in Artificial Intelligence (AI).

This presentation will focus on how AI can shift testing from a reactive to a proactive discipline by predicting potential defects and quality issues before they manifest. By leveraging AI techniques such as predictive analytics, machine learning, and pattern recognition, organizations can identify risk areas and prioritize testing efforts more effectively.

This proactive approach allows teams to address issues early in the development lifecycle, significantly reducing the cost and impact of defects. Attendees will learn about various AI-driven tools and methodologies that enable predictive quality assurance, along with real-world examples of successful implementations. We will discuss the benefits of early defect detection, including improved software reliability, enhanced customer satisfaction, and faster time-to-market.

Additionally, the presentation will cover the challenges of adopting predictive QA, such as ensuring data quality, managing change, and integrating AI into existing workflows. Practical guidance will be provided on overcoming these challenges and making the transition to predictive QA.

By the end of the session, participants will have a clear understanding of how AI can transform their QA processes from reactive to proactive, leading to higher quality software and more efficient testing practices.

What you will learn

  1. Proactive QA: Discover how AI shifts testing from reactive to proactive by predicting defects early.
  2. Risk Management: Learn how AI techniques like predictive analytics and machine learning help identify and prioritize risk areas.
  3. Implementation Insights: Gain practical guidance on adopting predictive QA tools, overcoming challenges, and improving software reliability.

Session Details

  • Intermediate
  • 45 minutes
  • Includes 15 mins Q&A
  • Implementing/integrating AI tools
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Check out this video from Venkat Edagottu to hear more about his talk, ‘Leading and motivating highly technical QA Teams.’

We look forward to welcoming you to EuroSTAR 2025.

Session Speaker

Venkat Edagottu

Hitachi Digital Services, US

Mr. Venkat Edagottu is a Senior Manager in Software Development Test Engineering with over 20 years of experience in the IT industry. His extensive career spans various domains and includes managing globally distributed teams.

His expertise in various testing methodologies, coupled with his exceptional team management skills, has consistently driven success in both consulting and leadership roles.

Venkat is deeply passionate about inspiring his team members and fostering diverse, inclusive work environments. In his spare time, Venkat is an active blogger and conference speaker, sharing his wealth of knowledge and insights with a wider audience.

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