Posts tagged with remote diagnostics

Moving Forward into the Future - Diagnostics in Global Engineering Teams

Diagnostics in Global Engineering Teams

The automoive industry is facing major challenges due to the complexity of electric and autonomous vehicles of the future. As a result, work is taking place on global teams, resulting in turn in massive changes in both engineering and the tool landscape used.

Tracking Down Errors: The Perfect Diagnostic Tool in Vehicle Engineering – Whatever the Application Case

Article in "OEM&Lieferant": Tracking Down Errors - The Perfect Diagnostic Tool in Vehicle Engineering

Vehicle engineering is facing a range of challenges. This is why today manufacturers and their suppliers work together at a global level at which they need to be able to exchange data safely all over the world. The range of vehicles is constantly diversifying while the engineering cycles are becoming ever shorter. Vehicles must be maintained over the entire product life cycle which means that more and more tasks have to be completed in an ever shorter time.

SAVE THE DATE – ELIV Congress 2019

Visit Softing at the ELIV Congress 2019!

Meet us at the international congress for automotive electronics ELIV on October 16-17, 2019 in Bonn, Germany. In the fast-paced automotive market, it is of greater importance than ever before for OEMs and suppliers to have transparency when it comes to quality and reliability in all their often globally distributed process sequences. At ELIV (electronics in vehicles) congress in Bonn, Germany we will show you the support we can provide with our innovative and flexible diagnostic and test solutions.

Automotive Megatrends Drive Diagnostic Development

Automotive Megatrends drive Diagnostic Development

Automotive Trends such as electric and autonomous driving are leading to paradigm shifts in the E/E architecture. This in turn is leading to new challenges in vehicle diagnostics, but at the same time is opening up opportunities for improving the quality of diagnostics and increasing efficiency. there will be new ways of diagnosis with even cloud-based systems.

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