Goldman Sachs Boosts Test Coverage by 40% Using RAG AI. Is Your QA Next?
No se pudo agregar al carrito
Add to Cart failed.
Error al Agregar a Lista de Deseos.
Error al eliminar de la lista de deseos.
Error al añadir a tu biblioteca
Error al seguir el podcast
Error al dejar de seguir el podcast
Goldman Sachs Boosts Test Coverage by 40% Using RAG AI. Is Your QA Next?
-
Narrado por:
-
De:
Acerca de esta escucha
In this episode, we dive deep into how cutting-edge AI techniques — Self-RAG (Self-Reflective Retrieval-Augmented Generation) and Agentic RAG — are fundamentally transforming the software testing landscape. From increasing test coverage by 40% at Goldman Sachs to enabling autonomous exploratory agents that simulate users in real-time, AI is no longer a futuristic idea in QA — it’s here and it's powerful.
Join us as we explore:
- What RAG, Self-RAG, and Agentic RAG really are
- How they reduce testing time, cost, and maintenance effort
- Real-world results from companies like Goldman Sachs, Swisscom, and Vodafone
- Where AI-driven QA is heading next
- Why your current testing strategy might already be obsolete
Whether you're a QA professional, test manager, or curious technologist, this episode delivers essential insights into the tools and strategies defining the future of quality engineering.
🎧 Tune in to find out if your testing strategy is ready for what’s next.
Check out the content on LinkedIn 👉
Connect with Dean on LinkedIn 👉