AI and Testing Conference Chennai 2027

Software testing has grown far beyond its traditional boundaries. Test automation, continuous testing, performance engineering, security testing, exploratory testing, and quality engineering have become integral to delivering dependable software. As architectures grow more complex and release cycles accelerate, testing professionals must continually reassess their methods, tools, and approaches to quality.

At the same time, artificial intelligence is creating new opportunities and challenges across the technology landscape. From generative AI and intelligent applications to the use of AI in engineering workflows, these developments are influencing how software is developed, evaluated, and maintained.

The AI and Testing Conference Chennai 2027 brings both domains into focus. It addresses the breadth of modern software testing while examining developments in artificial intelligence, including their applications in testing and the distinct challenges involved in validating AI-based systems.

For testers, automation engineers, QA leaders, developers, AI practitioners, and technology decision-makers, the conference offers an opportunity to engage with current practices, emerging technologies, and ideas influencing the future of software quality and intelligent systems.

Why Attend?

• Explore the Full Spectrum of Software Testing: Gain perspectives on functional testing, test automation, performance, security, exploratory testing, and quality engineering.

• Understand Emerging AI Technologies: Examine developments in generative AI, intelligent applications, and their growing relevance across technology.

• Advance Your Testing Practices: Discover approaches to test design, automation strategy, test management, and quality assurance.

• Examine AI in the Testing Lifecycle: Understand where AI-assisted testing can add value and the practical considerations involved in adopting it.

• Explore the Challenges of Testing AI Systems: Consider the complexities of evaluating AI-driven applications, including reliability, consistency, and unexpected behaviour.

• Discover Tools and Techniques: Stay informed about evolving testing tools, automation frameworks, and technologies across both domains.

• Learn from Industry Experience: Gain insights into practical challenges, implementation decisions, and lessons from software engineering and testing projects.

• Strengthen Technical and Strategic Skills: Develop perspectives relevant to hands-on practitioners, test architects, engineering managers, and quality leaders.

• Connect Across Disciplines: Exchange ideas with professionals working in software testing, quality engineering, AI, and technology leadership.

• Keep Pace with Industry Developments: Understand the changing landscape of testing and AI and their implications for engineering teams and organisations.