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On-Demand Webinar

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Accelerated Validation AI-Led V&V Faster Releases, Lower Risk & Audit-Ready Digital Health Systems

Overview

Enterprises today are under constant pressure to deliver high-quality software faster while managing increasing system complexity. Traditional testing approaches and legacy Test Centers of Excellence (TCoEs) are struggling to keep pace with the demands of modern digital, cloud, and AI-driven applications.

In this exclusive webinar, Innominds experts explore how organizations can transition from conventional testing practices to AI-led Quality Engineering (QE) and Quality Intelligence (QI).

The session demonstrates how AI-powered agents and intelligent automation can transform the entire testing lifecycle—from test planning and test generation to defect analysis and release readiness decisions.

Learn how organizations can modernize their quality engineering strategies to accelerate releases, reduce production defects, and build trustworthy AI and digital systems.

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Key Takeaways

Accelerated Test Case Generation

AI-led Quality Engineering for Modern Software Systems

Learn how AI-driven QE frameworks help organizations modernize traditional testing practices and deliver higher software quality with faster release cycles.

Smarter Automation with Vision AI

Intelligent Test Generation and Automation

Discover how AI agents can automatically generate test plans, test cases, functional scripts, and test data, enabling faster automation and improved test coverage.

Transparent and Explainable QE

Quality Intelligence for Smarter Release Decisions

Understand how Quality Intelligence enables predictive analytics, risk-based testing, and real-time quality insights that help teams make confident Go/No-Go release decisions.

Proven Real-World Impact

End-to-End Assurance for AI Systems

Explore how QE frameworks validate AI systems across the data layer, model layer, and agentic AI layer to ensure accuracy, reliability, fairness, and compliance.

Optimized Performance and Scalability

Continuous Quality Across Digital Ecosystems

See how AI-led QE) supports end-to-end testing across digital applications, data pipelines, AI/ML models and enterprise platforms, enabling organizations achieve consistent quality, reliability, and performance across their tech landscape.

Speakers

Karthik Reddy Mudda

Karthik Reddy Mudda

Director and SME - AI-led QE
Innominds

Who Should Watch

Professionals looking to modernize testing strategies and adopt AI-driven Quality Engineering and Quality Intelligence will benefit from this session.

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