The Rise of AI Bots: Strategies for Effective Testing & Quality Assurance
COVID-19 has accelerated the development of contactless solutions. With bots/conversational interfaces being the most preferred way of quickly deploying self-service tech, the popularity of ChatGPT has proven that conversational interfaces are the most natural way of interacting with apps and the internet. Key aspects of any AI-based bots are their ability to understand the user’s intent and provide the right solution. With the advent of highly effective language models, it has become easier to build AI-based bots, but testing these bots is still done through scripted manual & automated testing. The conventional testing techniques are suitable for testing deterministic systems but do not suit AI-based systems well. The impact of AI on SDLC is inevitable, and Software testing is no exception. This talk introduces a novel way of using AI to test AI using transformers which completely eliminates the need for reactive testing of bots through direct integration with Bot-building platforms, thereby cutting down the testing effort by > 60%.
Join this session to learn:
- What is Chatbot Testing?
- Challenges to AI Chatbot Testing?
- How will Qyrus’ AI help in efficient Chatbot Testing?
Ameet Deshpande
Ameet Deshpande is an Engineering generalist and a builder at heart with focus on Quality Engineering, Product Engineering, Product Management, cross functional team building and Agile.
He has involved in many strategic initiatives at Quinnox and its clients and especially in Financial Services with primary experience in Quality Engineering, Cloud, SaaS, and AI. He was also involved in large scale transformation programs as part of a consulting & architecture groups within one of the top 10 Banks in the world. Ameet is an electronics & communication engineer by education with specialization in embedded systems and associated areas.