Khalid AhmedKhalid is a technical expert in connected vehicle analytics and machine learning at Ford Motor Company. His work involves using connected vehicle data for powertrain system sizing and quality needs. He leads Ford Motor Company’s Product Development Connected Vehicle Analytics User Group, helping the proliferation of the use of connected data in product development with a focus on electric vehicles. His education includes a PhD from the University of Michigan, Ann Arbor in chemical engineering and computational physics. He is also currently pursuing an executive MBA at the Ross School of Business.
Connected data for prognostics, quality cost savings and beyond
Connected vehicle data has given a new meaning to our relationship with customers at Ford Motor Company. In our Ford+ plan, we pursue an always-on approach to our relationship with customers. In addition to customer-facing connected services, the product development team at Ford uses connected vehicle data to continuously improve our products – the underlying powertrain and various propulsion components. In this talk, we will highlight our work using connected vehicle data to provide prognostics for electric vehicles. The prognostics provide an early warning to quality teams, reducing time to resolution and quality costs all while increasing customer satisfaction and retention. Connected vehicle data is also used in the design of future components that are optimized according to usage learned from connected vehicle data.