Speaker
Sumit Mundhada is a test automation professional with over a decade of experience in test automation, automation framework development and quality assurance for cutting edge technology products. He has completed a Post Graduate Program in Artificial Intelligence and Machine Learning from The University of Texas at Austin. He is an Electronics & Telecom Engineer. He has also completed a Postgraduate diploma from Centre for Development of Advanced Computing (C-DAC) which is an Autonomous Scientific Society of the Ministry of Electronics and Information Technology, of the Government of India.
He has worked with MNCs like Samsung Mobile, Reliance Jio and Electronics Arts (EA Mobile Games) before Joining Vodafone (_VOIS). He is a Tech Speaker & Blogger. He has represented many testing conferences, forums and published several white papers with respect to test automation benefiting test automation & QA community.
Optimizing Software Testing using Artificial Intelligence
The goal of artificial intelligence in software testing is to make software testing better and more effective. In this talk we will explore how AI and machine learning uses reasoning for any problem-solving. We will try to unfold key use cases and future trends where one should invest for AI ML and things to consider before any investment. Various AI ML Tools are available say for example declarative, differential, self-healing, etc. but how to evaluate and decide is not that simple, talk will unfold all approaches which will help for true return on investment. Talk will deliver how to optimize software testing using AI ML and plan overall strategy for better result.
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