Software testing has come a long way from its humble beginnings as a manual process. To meet the demands of complex systems and changing market expectations, QE teams across companies are now accommodating automation and AI. As per the 2024-25 World Quality Report survey, the global average level of test automation has increased to 44%. Testing is no longer about validating present conditions; it’s about preparing for and rewriting a dynamic and evolving future.

Leveraging our significant expertise and experience in testing across domains, we explore multiple use cases in quality engineering that can be revolutionized using AI testing strategies in this whitepaper. Some of these include:

  • Test case generation
  • Test script maintenance
  • Test execution optimization
  • Visual testing
  • Exploratory testing

And much more.

Take a deep dive. Get your copy today.

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ABOUT THE AUTHORS

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Ganesh NatarajanVP, Digital Engineering Studio. Global Head of Testing

Ganesh Natarajan is a dynamic leader with around three decades of experience building and leading large engineering teams, spanning across the globe. He started his career in sales and has developed a passion for using technology to uncover and resolve software issues before they impact customers. With deep expertise in digital assurance, solution consulting, and C-level client engagement, Ganesh excels in driving innovation, building scalable solutions, and delivering exceptional outcomes. His strategic vision and hands-on approach ensures quality products with faster time-to-market, thus leading to enhanced customer satisfaction globally.

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Padmanabhan GaneshanSr Solution Architect

With over two decades of expertise in the software testing industry, Padmanabhan Ganesan is a seasoned Solution Architect and Transformation Consultant specializing in elevating testing practices to meet modern digital demands. He has conducted 15+ test maturity assessments and has delivered higher levels of efficiency and quality through industry best practices. As a senior consultant, Padmanabhan has successfully partnered with organizations on their path from traditional to digital testing methodologies, championing continuous testing as part of CI/CD adoption. He also pioneers AI-based testing solutions, assisting architects in defining strategies, selecting tools, and finalizing automation frameworks. He is committed to driving innovation, improving test maturity, and enabling seamless digital transformation.

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Umesh NaikAVP – Software Quality Engineering

Umesh is a seasoned Service Delivery Leader and brings with himself 25 years of rich experience. He is a proven leader in managing Quality Engineering practice and delivering high-impact digital projects, enabled by AI. He has extensive expertise across the entire project life cycle, excels in defining standards, evaluating tools, and ensuring defect tracking and documentation quality. He has successfully managed large-scale projects with 100+ team members, delivering them on time and within budget. Known for his strategic planning and cost-cutting strategies, Umesh builds high-performing teams and drives operational excellence to achieve organizational success.

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