CNH aspires to better utilize Azure to integrate data streams from its test beds, from historical data, from manufacturing & quality trends, from databases throughout the CNH organization, and from dealers, with a goal to (eventually) unify its digital ecosystem. Purdue can be a key partner in this major effort.
CNH has a broad range of digital investments, and a need to track the data at all stages in the manufacturing and repair process: manufacturing & assembly testing dealer customer wide range of use cases repair / predictive maintenance (eventual) failure / end-of-life / replacement
- Tools: azure, postgresql
- Topics: ai, machine learning
- Requirements: Open to all students