The huge amount of data generated every day by each Vehicle and ever-increasing fleet of Vehicles poses huge data management challenges to OEMs, so the smart self-learning ways of efficient data collation gains significance. By leveraging smart, self-learning methodologies, the solution aims to streamline the process of collecting and organizing data from vehicles.

Wipro’s Data Harvester framework is the cutting-edge solution for intelligent data collection from vehicles. This innovative framework enables the extraction of selective in-vehicle data snapshots, which can be seamlessly sent to the cloud or on-premises. Leveraging Generative AI, it augments the training dataset and performs verification and validation (V&V), with improved features and algorithms deployed back to the fleet via over-the-air (OTA) updates.

Key features of the solution:

  • Cloud Agnostics implementation (Implemented for AWS, NVIDIA AI Enterprise)
  • Supports standard ML pipelines
  • Policy-Based Configuration of anomaly data source
  • Synthetic Data Generation, Auto labelling
  • Simulation based validation of trained model