Complexity Engineering Uncategorized

Ontonix Contributes to Software-defined Vehicle (SdV) Course

“This course gives you easy access to the key concepts of the Software-defined Vehicle (SdV) and related topics such as vehicle OS, vehicle Digital Twin, vehicle app stores and continuous vehicle experience improvements. The course covers SdV use cases, target architecture, transformation roadmap and management of the related value streams. Learn how OEMs can benefit from SdV-enabled vehicle applications, new vehicle experiences and data-driven mobility services. Looking at the SdV through the lens of the digital transformation manager on the ground will help you get a good understanding of the opportunities and challenges related to SdV. A special focus on “digital first” exploration will help you understand how an OEM can utilize SdV in the innovation phase to ensure a good product/market fit of new digital vehicle features. No coding skills are required, but the course also provides optional deep dive lessons covering some of the key technical concepts of SdV, including enabling technologies as well as solution architectures utilizing SdV. A critical discussion of functional safety-related concerns is providing a healthy dose of reality. Finally, the look at the SdV-enabled “Build, measure, learn — repeat” cycle is rounding off the discussion.” Continue reading here.

These are the companies that have contributed:

The SdV 101 course is supported and sponsored by our partners: Bosch, Dassault Systemes, LeanIX, ETAS, SBD Automotive, KEARNEY, mm1, Berkeley, Ferdinand-Steinbeis-Institute, and AIoT Lab Heilbronn.

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Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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