Simply enter your keyword and we will help you find what you need.

What are you looking for?

AI Testing

← Back to timetable

SPONSOR TRACK TALK

The QA Renaissance: Reinventing Quality with Generative AI, Observability, Data-driven Testing and Chaos Engineering

Artificial intelligence (AI) and machine learning (ML) are revolutionising QA by automating repetitive tasks, predicting potential failures and optimising test coverage. These technologies can analyse large volumes of data to identify patterns, generate test cases and even prioritise which tests to run based on risk. This talk will explore how AI-powered testing can reduce reliance on manual intervention, identify hidden bugs before they occur, and provide strategic insights to business and development teams.

· Intelligent Test Case Creation with Generative Models

· Generating Realistic Test Data with AI

· Observability and Fault Analysis with AI

· Generative AI in Chaos Engineering: Simulation of Intelligent Failures


What you’ll learn


From this talk you will learn:

Understand the impact of AI in QA: Discover how generative AI and observability improve software quality, reducing bugs and optimising testing.


Apply new strategies: Know tools to automate tests, generate realistic data and detect errors in real time.


Improve coverage and efficiency: Reduce manual testing, prioritise key cases and strengthen software resilience with Chaos Testing.


Explore real cases and leading tools: See examples of companies applying AI in QA and how to implement it.


Adopt a data-driven mindset in QA: Use insights to make better decisions and reduce risks.


Session details

Track 3

12:00h - 12:45h · May 21st

40 minute talk + 5 minutes Q&A

AI Testing

General Level

Session in English

diogo_goncalves

Diogo Goncalves Candeias

With more than 10 years in the Research & Development area, Diogo has a comprehensive and competitive knowledge about Architecture & Quality Assurance areas in software development with special focus in Automation (Robot Process Automation, Machine Learning and automation playbooks) and Artificial Intelligence. Biomedical Scientific R&D is also one of his interests.