GUEST LECTURE ON AI IN AUTOMOTIVE INDUSTRY, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

Artificial Intelligence – Context

Artificial Intelligence is the field of developing computers and robots that are capable of behaving in ways that both mimic and go beyond human capabilities. AI-enabled programs can analyze and contextualize data to provide information or automatically trigger actions without human interference.

AI in Automotive Industry

AI in the automotive industry encloses a broad range of technologies, such as computer vision, machine learning, NPL, speech analytics and robotics. These technologies help develop self-driving cars, advanced driver assistance systems, personal assistance, etc.

Real World ML Process

Model Building

Model Deployment

Pycaret – Lowcode Machine Learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes more productive.

MLOPs

MLOps stands for Machine Learning Operations. MLOps is a core function of Machine Learning engineering, focused on streamlining the process of taking machine learning models to production, and then maintaining and monitoring them. MLOps is a collaborative function, often comprising data scientists, devops engineers, and IT.

Data + ML+DEvops