The automotive sector generates a huge amount of data; And as autonomous and connected vehicles gather real-time data on customer habits and preferences, the amount of this data will continue to grow. Transforming this information into relevant insights depends on the company’s innovative approach.
Compared to a phone app, a connected vehicle software crash can have serious safety consequences while driving. Thus, the automotive manufacturing and innovation cycles are interconnected and must pass through multiple quality assurance checkpoints before being sold. But as customers adapt to rapidly evolving digital technologies and the market continues to evolve, automakers and OEMs must shorten these cycles without compromising safety and security.
Digital twins, the virtual analog of physical car software and mechanical and electrical components that can carry real-time inspection data, maintenance history, warranty information and defects, are among the many new technologies that help bridge this gap, Uvarova said. .
Driving continuous improvement in products and services means that operating systems must meet the technologies used to create modern software-differentiated vehicles. Uvarova’s agile way of working – managing projects at supportive levels with cross-departmental collaboration and continuous improvement feedback – aligns with modern innovation practices and serves OEMs well.
“Many departments need to work together, and they need to work together quickly, to ensure that we support innovation and bring modern and modern generations of defined software to the market,” Uvarova said. Actually, in a simple way.
What is often missing from traditional OEMs is collaboration between departments as many processes continue to operate top-down and are confined within silos.
“The best innovations are born from cross-pollination, collaboration, cooperation between different parts of the same company, and sometimes from partnerships,” Uvarova says.
Data silos, where insular processes and data streams cannot be easily shared between departments and operational levels, often lead to inefficiencies and duplication of work. Historically, Sayer said, many industries, including automobiles, have excelled at working in these silos. But working efficiently, creating connected products and getting the most out of the data it generates requires collaboration and data sharing.