Recent advancement in Artificial Intelligence and Machine Learning such as Edge AI is transforming today’s AI technology landscape. Edge AI, or AI at the edge is enhancing responsiveness by enabling computation near data source with edge computing. In other words, it is like deploying Machine learning models directly on local devices such as mobile, self-driving cars, sensors, cameras, or Internet of Things (IoT) devices. In this atomic talk, we will learn about the state of Edge AI. How it enables real-time data processing and feedback. We will learn about Edge AI, Distributed AI and Cloud AI. We will explore use cases and applications around Edge AI. We will learn machine learning models used to train Edge AI. We will understand the benefits of Edge AI. As a software tester we will learn about how to test and evaluate Edge AI applications.
Talk Takeaways
Sumit Mundhada is Automation and AI ML practitioner with 15+ of experience in software industry. 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 conferences, forums and published several white papers with respect to automation, artificial intelligence, data analytics benefiting software community. He has completed a Post graduate program in Artificial Intelligence and Machine Learning from University of Texas at Austin. He is an Electronics & Telecom Engineer. He has also completed 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
