Episode 33

QA in HealthTech will never be the same: How Gen AI is driving the change

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In this episode of the Shaping Healthcare Podcast, host Laurel Rockall welcomes Gaurav Shrimal, AVP of Quality & Validation at CitiusTech, and Kanika Pandey, VP of Global Sales at Loadmill, to explore how Gen AI is reshaping quality assurance in healthcare. 

Join them to gain insights into: 

  • Dual impact of Gen AI on QA: transforming QA processes and testing Gen AI-based applications 
  • Urgency for QA teams to evolve as development cycles accelerate 
  • Challenges in enterprise adoption due to compliance and infrastructure barriers 
  • Gen AI as both a disruptor and an opportunity in QA 
  • Automation of traditional QA tasks like test case creation and script generation 
  • Real-world use cases, including predictive analytics and test stability improvements 
  • Upskilling manual testers to participate in automation workflows 
  • Importance of hands-on experimentation with Gen AI tools
  • Advice for QA leaders to embrace Gen AI and lead by example
Kaushik Raha (1)

Kaushik Raha

VP, AI Practice, CitiusTech

Kaushik Raha is Vice President and Head of AI Solutions at CitiusTech. He and his team build innovative AI solutions to bridge the gap between cutting-edge innovation and real-world healthcare industry needs. He brings deep expertise in AI/ML, data science, and computational sciences to the health and life sciences industry. At CitiusTech, he drives the quality, trust, and governance to ensure responsible AI, ensuring safe, ethical, and compliant AI applications.

Kanika Pandey

Kanika Pandey

VP, Global Sales, Loadmill

Kanika Pandey is Vice President of Global Sales at Loadmill, where she leads global efforts to scale adoption of generative AI-powered test automation. She specializes in helping enterprises integrate AI-driven solutions seamlessly into their workflows, leveraging her expertise in SaaS sales and strategic execution. Kanika is passionate about aligning cutting-edge technology with business outcomes to drive measurable impact and transformation across enterprise software landscapes.