Make the transformation to sustainable mobility. Our mission is to design and co-create products and services that empower you to get there.
DXC Technology empowers customers worldwide to drive competitive advantage and navigate change. With expertise spanning autonomous drive, connected mobility, digital cockpit, UX, and testing and validation, DXC helps automakers, Tier 1 suppliers and key partners accelerate the shared, personal, connected and intelligent mobility of the future.
We work with our customers to support your transformation to become innovative digital businesses at the convergence of AI, autonomous mobility, connected infrastructure and digitization.
We design and co-create products and services that help automotive companies make the transformation to sustainable mobility.
“We have been working with Ferrari for several years on their essential infrastructure, and we are proud to move to a partnership that includes guiding them to their technology future. We are committed to innovating technology that transforms the vehicle information capabilities and enhances the driving experience for all.”
Michael Corcoran
Global Lead, Analytics & Engineering, DXC Technology
Product quality control and surface area defect detection are crucial steps in the manufacturing process. Automating this process requires training computer vision models with vast amounts of images and input data that are often beyond the technical capabilities and resources of small- and medium-sized manufacturers. DXC and AWS have leveraged AWS Generative AI services to better train computer vision models to detect manufacturing defects. Learn more in this new blog by DXC’s Stoyan Boyukliyski, Srijani Dey and John Thuma.
DXC Technology was tasked by Mercedes-Benz AG to develop a stable data ingest solution, suitable for a rapid ingest of recorded sensor data from solid-state drives (SSDs) to a mobile ingest box, a combined software-, hardware- and service-solution stack.
Analytics and Engineering
Modern Workplace
Analytics and Engineering
Improve competitiveness and profitability with enterprise data architecture and software engineering.
Decrease manufacturing and R&D costs, improve algorithmic performance by 50% for high volume data ingestion and analysis. Accelerate time to market for connected autonomous mobility.
