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Quality Assurance is evolving fast. Traditional QA models struggle to keep up with today’s complex, AI-driven software systems. Manual testing and static automation are no longer enough to ensure speed, reliability, and scale. In this episode, Shrish Ashtaputre explains how AI is reshaping Quality Assurance — from predictive defect detection and intelligent test automation to self-healing systems and continuous quality engineering. This conversation explores how modern QA teams are adapting to Agile, DevOps, and AI-native products, and what engineering leaders must do to build quality into every release. ▶️ Watch till the end to understand the future of QA and AI-led testing practices. ⏱️ Timestamps 00:00 – Why QA is changing 01:12 – Limits of traditional QA and manual testing 02:48 – Complexity of modern software systems 04:25 – AI’s role in transforming QA 06:15 – Predictive defect detection & self-healing tests 🔔 Follow Calsoft Website: https://www.calsoftinc.com LinkedIn: / calsoft-inc X (Twitter): / calsoftinc Instagram: / calsoftinc 🎙️ Upcoming Episodes AI-Powered Test Impact Analysis QAOps and Continuous Quality Engineering Testing AI-Driven Products at Scale Intelligent Automation in Software Testing Subscribe and enable notifications for upcoming episodes. #QualityAssurance #AIinQA #SoftwareTesting #QualityEngineering #AIEngineering #QAOps #DevOpsTesting #EnterpriseAI #TechnologyFirst