From Manual to Automated Testing: The Role of AI in the Transition (+ Case Study)

Short description

This presentation introduces AI-powered test automation - in the form of a case study with actionable feeedback

The deck includes a real-world case study, demonstrating how AI testing reduced release cycles by 50%, increased coverage to 80%, cut production bugs in half, and reduced bug report inefficiencies by 3x. The session concludes with a practical roadmap for implementing AI testing and key takeaways about making quality assurance a business accelerator rather than a bottleneck.

It also introduces Thunders, covering the CEO's testing journey, the $100B+ global testing market, and the complete QA lifecycle where AI can add value.

Problems addressed:
Quality is everyone's responsibility

Where to inject AI and Automation in your end to end journey

Talk language: English
Level: Advanced
Target group: Quality Assurance professionals, Test Managers, Development Team Leads, DevOps Engineers, CIOs/CTOs interested in modernizing their testing approaches

Company:
Thunder Code SAS

Presented by:

Karim Jouini