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Goldman Sachs Boosts Test Coverage by 40% Using RAG AI. Is Your QA Next?
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תוכן מסופק על ידי Dean Bodart. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Dean Bodart או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
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.
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