Limitations in Conventional Testing & Need for AI/ML Driven Testing
The podcast by Shrish Ashtaputre, who is Technical Director and QA Practice Head at Calsoft, highlights the limitations of conventional testing approaches and how AI/ML can help in building efficiency and improving testing cycles.
This podcast is a snippet of the webinar on How AI is shaping the future of testing, where expert speakers from Calsoft highlights the need for AI-driven testing and how to induce artificial intelligence and machine learning algorithms for faster test cycles.
The webinar will guide you with:
- Various limitations in conventional testing approaches
- Resolving those limitations by using AI use cases
- Enabling more thorough testing and ensuring faster test cycles with AI
- Multiple focal points of AI-driven testing and its cost-effective approach
About The Speaker
Technical Director – QE, Calsoft
Shrish is a seasoned technology professional with 21+ years of industry experience. He has worked on the infrastructure side of the technology stack, viz. Storage, Networking, and Virtualization. His deep expertise lies in optimizing the QE approach through the use of the right tools, an innovative testing mindset, and enabling outcome-driven automation solutions.