Session Topic
The Triple Threat: How Generative AI, Predictive Analytics, and Self-Healing Automation Cut Testing Costs by 40%, Accelerate Releases by 30%, and Improve Defect Detection by 50%
Biography
Jyotheeswara Gottam is a technology professional specializing in software quality engineering and modern testing practices with 15+ years experience. With a strong focus on innovation in test automation, Jyotheeswara has a keen interest in leveraging emerging technologies such as Generative AI, predictive analytics, and intelligent automation to improve software reliability and reduce operational costs. Currently working at Walmart, Jyotheeswara contributes to building scalable and efficient testing solutions for complex enterprise systems. Their work emphasizes the adoption of data-driven and AI-powered approaches to enhance test coverage, accelerate delivery cycles, and improve overall product quality. Jyotheeswara is particularly passionate about transforming traditional QA processes into intelligent, adaptive systems and actively explores advancements in self-healing automation and risk-based testing strategies. Through research and practical implementation, they aim to bridge the gap between cutting-edge AI capabilities and real-world software engineering challenges.