How speed and quality can go together?
How can QE ensure secure, reliable, and seamless customer experiences in high-stakes financial applications?
Whats harder in AI testing, catching hallucinations or explaining why they happened?
What skills should a modern QE engineer in financial services prioritize, coding, security, compliance, or domain expertise?
Which is harder to test an AI chatbot, or the AI that helps test it?
How do you measure the business impact of quality engineering in financial services?
How do you see QE evolving over the next 5 years in financial services, automation-first, AI-driven, or human-in-the-loop?
How can Quality Engineering evolve to guarantee resilience, zero downtime, and flawless customer experience in digital banking?
Is Quality Engineering in finance shifting from a testing function to a true business enabler, powering compliance, customer trust, and digital innovation? What’s your take?
A question to all panelist, Do you all use AI in realtime in your projects or team?
Is not the usage of Local LLM’s the solution to avoid leak of data to external world and also free to use in financial services?