In today’s fast-moving world of DevOps, cloud-native platforms, and AI-driven delivery, traditional Quality Assurance stands at a pivotal crossroads. Manual testing, script-heavy automation, and siloed QA practices can no longer match the speed, complexity, and scale of modern software development. The message is clear: evolve—or risk irrelevance.

This session explores the strategic leap from conventional QA to QualityOps—an engineering-centric paradigm that embeds quality throughout the software lifecycle. Drawing on over two decades of global quality engineering leadership, this talk will reveal how QualityOps enables QA professionals to shift left, shift right, and shift smarter. You’ll learn how to apply real-time quality signals, intelligent automation, and deep cross-functional collaboration to elevate QA from a tactical function to a strategic enabler.

Attendees will leave with actionable insights to modernize their automation strategy, redefine QA roles, and align quality efforts with business agility—ultimately future-proofing both their teams and their careers in the age of continuous delivery.

Advanced OCR and Text Extraction: Investigate how generative models can improve the accuracy and efficiency of OCR systems, especially for complex or non-standard documents.

Automated Summarization and Translation: Use Gen-AI to automatically summarize lengthy documents and translate text into different languages while preserving context and meaning

How Gen-AI can reduce manual work like invoice processing using effective techniques of OCR