Failure Detection using Driver Behaviour from Telematics
Telematics data have a potential to unlock revenue of 1.5 trillion. Unfortunately this data has not been tapped by many users.
In this case study Karthik Thirumalai would discuss how we can use telematics data to identify driver behaviour and do preventive maintenance in automobile.
Outline/Structure of the Case Study
- Outline of the problem
- Data Analytics Framework
- Exploratory Data Analysis
How to use telematics data to infer driver behaviour and prevent failure using it. The presentation would cover in-depth analysis and visualization of the data. Also explain about different models that were applied to the model and the outcomes of the solution. The case study would touch upon data visualization, exploratory data analysis, machine learning