A part of FEV Group
In today’s data-driven landscape, Engineering Analytics is reshaping the way we design, validate, and optimize complex systems. As outlined in our previous newsletter, Engineering Analytics is an interdisciplinary engineering approach that combines technical domain and data science expertise. This integration fosters a collaborative framework where both fields enhance each other’s capabilities. A…
In today’s data-driven world, Engineering Analytics is transforming how we design, test, and optimize complex systems. As described in our last newsletter, Engineering Analytics represents an interdisciplinary approach that integrates technical domain expertise with advanced data science methodologies in a way that allows both to work in an…
Combining engineering know-how with data science for smarter decisions. Every day, vast amounts of data are generated or already exist. But how can we make sense of it? What insights can it offer? Often, the data is incomplete, distorted, or…
Why Cities Need a Copilot for the Green Transition Europe’s cities are at the frontline of climate change. By 2100, climate-related damages could cost the continent €22.2 trillion if decisive action is delayed. Municipalities understand the urgency – but turning…
Why Performing a Gap Analysis? Cybersecurity has become a crucial discipline for the automotive domain. This is due to the introduction of advanced technologies such as connected systems, automated driving systems, and over-the-air updates. Additionally, with the introduction of cybersecurity…
What does a secure Over-The-Air software update tool do? Imagine we have the following situation: the ego vehicle is driving on the road, the monitoring system on the vehicle in front has detected suspicious behaviour of its own and reported…
When developing software driven or software intensive systems, the developers must handle holistically the ever-increasing complexity and variability of these systems, while ensuring the highest level of traceability of all applying requirements (legal, performance, comfort, safety, etc.). They must ensure…
Software-Defined Vehicles (SDVs) are revolutionizing automotive development by decoupling hardware from software, enabling agile, continuous integration and deployment (CI/CD) workflows. This shift allows for early and frequent testing of vehicle functions—especially in Software-in-the-Loop (SiL) environments—using the same containerized applications that run in actual…