How AI Is Modernizing Quality Engineering in Complex Insurance Digital Ecosystems
As insurers accelerate digital transformation, ensuring application reliability, speed, and regulatory compliance has become more challenging—and more critical—than ever.
Here industry experts explore how enterprises are adopting AI-enabled, unified quality engineering platforms to modernize testing across core systems, digital channels, and data-driven services. Experience how AI-powered automation, risk-based testing, and enterprise-wide visibility are helping organizations improve quality, reduce risk, and release new capabilities faster.
Whether you’re dealing with legacy platforms, regulatory pressure, or growing digital complexity, this session will provide practical insights you can apply immediately.
Key Takeaways
- How insurers are modernizing quality engineering across complex, interconnected systems
- Where AI adds the most value in test automation, risk‑based testing, and quality analytics
- How to balance speed, quality, and compliance in a regulated industry
- Best practices for improving visibility across the testing lifecycle
- Real‑world outcomes achieved through AI‑driven quality engineering
Speakers
Sujatha B Y
VP - Digital Assurance
Digitide
Bill Hayden
Senior Alliance Architect
Tricentis
Vigesh Vasanthan
Sr Digital Engineer
Digitide