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

Key Takeaways of the session

AI in Context

Real World ML Process

Pycaret

MLOPs

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