Head of Quality Engineering
Automation Architect with 12+ years of demonstrated history in Quality Engineering, DevOps & Digital Transformation projects of BFSI, eCommerce, & Insurance domains. Specialized in automation of Functional & Non-Functional requirements with expertise in DevOps practices. Expert in setting up Agile methodologies & scaling them in Scrum & Kanban frameworks.
“Future of Quality Engineering with Machine Learning & Artificial Intelligence”
Why topic is important:
AL/ML is everywhere these days and it’s swelling like never before. Be it Alexa, Siri or Autonomous cars; nothing is untouched by AI/ML, then why Testing domain remain tail-enders. Lets see some of the QA use cases for AI/ML implementations and enhance the quality of products
The term “Machine Learning” was coined by AI pioneer Arthur Samuel, an engineer at MIT in 1959. But it all started well before the computer, since many mathematical foundations of modern ML come from statistics.
In this session we will see how Machine learning has started impacting testing domain. And will go though some of the interesting AI/ML based QA automation tools which we can use in our companies for different SDLC perspectives.
The session will also cover some of the vanilla code libraries which can be used for implementing Machine learning based smart QA solutions.