Transforming EV Electrical Systems with Generative Design
By embracing a generative design methodology, automotive companies can navigate the complexity of EV development, improve design performance, and speed …
How real-time analytics is used in the manufacturing sector, such as for predictive maintenance, production optimization, and flaw detection.
By embracing a generative design methodology, automotive companies can navigate the complexity of EV development, improve design performance, and speed …
CDOS is not just a technological shift but a new way of thinking about vehicle engineering. As EVs become more complex, software-driven, and reliant on …
Factory managers need reliable data to drive real-time analytics and AI-driven insights of their manufacturing
The right-to-repair movement presents an opportunity for technology manufacturers to redefine their relationship with consumers as a preferred service
The modernization of existing auto manufacturing operations is no longer a luxury; it is a necessity for staying competitive in today’s fast-paced industrial …
By integrating Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) into their operations, automakers can reduce costs, increase agility, and …
As automakers face growing competition, embracing the smart factory revolution in 2025 is no longer just a strategic advantage—it’s a
Employing digital twins, virtual prototyping, and more is seen as a way to enable EV automakers to overcome challenges and seize opportunities in the ADAS and …
EV automakers will be hard pressed to incorporate EV innovations into design, development, and production while compressing the time from concept to delivery.
As more manufacturing systems digitize, AI can help address many of the vulnerabilities as OT systems are exposed to a wider