GE Aviation's self-service system allows them to use real-time data at scale to make better and faster decisions throughout the organization.Learn More
Data science, machine learning, and – ultimately – AI can improve efficiencies in every stage of automotive production, enabling organizations to cut costs, better serve customers, and perhaps most importantly develop new, innovative products.
High-Value Use Cases
Research and Development: In the future, AI will play a massive role in R&D productivity, preventing expensive R&D projects doomed for failure from being fully realized. This translates to automotive companies saving both time and money, both of which can be focused on projects with more potential as well as other machine learning and AI initiatives outside R&D.