{"id":13207,"date":"2023-04-28T17:13:49","date_gmt":"2023-04-28T17:13:49","guid":{"rendered":"https:\/\/www.sonatus.com\/unternehmen\/newsroom\/"},"modified":"2024-05-17T19:00:57","modified_gmt":"2024-05-17T19:00:57","slug":"newsroom","status":"publish","type":"page","link":"https:\/\/www.sonatus.com\/de\/unternehmen\/newsroom\/","title":{"rendered":"Newsroom"},"content":{"rendered":"
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Newsroom<\/span><\/h1>Pressemitteilungen<\/span><\/a> Die Presse \u00fcber uns<\/span><\/a> Laden Sie das Media Kit herunter<\/span><\/a> [\/vc_column][\/vc_row][vc_row full_width=”stretch_row” css=”.vc_custom_1683311236102{background-color: #eceded !important;}”][vc_column]
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April 23, 2026<\/div>\n\n

Sonatus stellt Softwarel\u00f6sungen f\u00fcr SDVerse-Marktplatz bereit<\/a><\/h4>\n\n
Sonatus hat seine L\u00f6sungen f\u00fcr Fahrzeugdatenverarbeitung, Orchestrierung und KI-gest\u00fctzte Software nun \u00fcber den SDVerse-Marktplatz f\u00fcr die Automobilindustrie verf\u00fcgbar gemacht.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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April 22, 2026<\/div>\n\n

Why Commercial Vehicle AI Must Be Built In, Not Bolted On<\/a><\/h4>\n\n
Artificial intelligence is steadily making its way into commercial vehicles, but today\u2019s deployments tend to be narrowly focused \u2014 designed to solve one pain point at a time. Fleets might use AI to improve maintenance planning, OEMs might apply it to accelerate validation, and suppliers may experiment with in-vehicle models. <\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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April 17, 2026<\/div>\n\n

SDVerse: Sonatus bietet KI-Software f\u00fcr SDV- und AIDV-Entwicklung an<\/a><\/h4>\n\n
Mit Collector AI, AI Technician und AI Director ist Sonatus nun auf SDVerse vertreten. Die Software adressiert Datenerfassung, Diagnose und das Management von KI-Workloads im Fahrzeug.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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April 17, 2026<\/div>\n\n

Sonatus joins SDVerse marketplace to accelerate development of AI-defined vehicles<\/a><\/h4>\n\n
Sonatus makes its AI Technician, Collector AI and AI Director solutions available via SDVerse to support AI-defined vehicle development and life-cycle management<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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April 17, 2026<\/div>\n\n

How the Rise of Software-Defined Vehicles Will Change the Collision Industry<\/a><\/h4>\n\n
As automakers move toward centralized computing platforms and over-the-air updates, collision repairers face new demands in tooling, training, and data management.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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April 6, 2026<\/div>\n\n

The engineering questions behind today\u2019s EV systems<\/a><\/h4>\n\n
Electric vehicle (EV) design now requires a system-level approach. Decisions in one subsystem directly influence performance across the entire vehicle. Engineering work is shifting toward managing how these interactions behave under real operating conditions.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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March 30, 2026<\/div>\n\n

Edge-KI: So entsteht die n\u00e4chste Innovationswelle im Fahrzeug<\/a><\/h4>\n\n
Software-definierte Fahrzeuge haben die Erwartungen an die Innovationsgeschwindigkeit neu definiert: Funktionen lassen sich per Update aktivieren, Varianten k\u00f6nnen sich \u00fcber Software unterscheiden, neue Services entstehen \u00fcber Daten.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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March 27, 2026<\/div>\n\n

From CAN Bus to Zonal Architecture: Reinventing In-Vehicle Networking<\/a><\/h4>\n\n
If you\u2019ve spent any time configuring VLANs, tuning QoS policies, or troubleshooting Ethernet switching infrastructure, the architectural challenges now facing the automotive industry will feel surprisingly familiar.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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March 19, 2026<\/div>\n\n

Wettlauf um das Auto aus Bits und Bytes<\/a><\/h4>\n\n
Open-Source-Initiativen und KI-Plattformen sollen die Entwicklung von Software-definierten Fahrzeugen beschleunigen. Was braucht man im Rennen um das beste digitale Auto?<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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March 17, 2026<\/div>\n\n

Interview mit Steve Stoddard, Sonatus \u201eDie gr\u00f6\u00dften Herausforderungen sind heterogene Plattformen\u201c<\/a><\/h4>\n\n
Edge-KI soll Fahrzeuge intelligenter machen \u2013 doch heterogene Plattformen, begrenzte Rechenleistung und Legacy-Architekturen bremsen die Skalierung. Steve Stoddard von Sonatus erkl\u00e4rt im Interview, wie OEMs KI-Modelle effizient ins Fahrzeug bringen.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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February 25, 2026<\/div>\n\n

Das ungenutzte Potenzial von Edge-KI im Fahrzeug<\/a><\/h4>\n\n
Der Wettlauf um Edge-KI im Fahrzeug hat begonnen. Lokal eingesetzte KI-Systeme werden zunehmend intelligenter, schneller sowie st\u00e4rker integriert und beschleunigen so das Innovationstempo bei Software-definierten Fahrzeugen (SDV) erheblich.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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February 20, 2026<\/div>\n\n

Fuhrpark: So treibt KI den Wandel in Wartung und Service voran<\/a><\/h4>\n\n
KI wird im Automobilbereich aktuell mit selbstfahrenden Funktionen oder digitalen Assistenten in Verbindung gebracht. Dabei wird oft au\u00dfer Acht gelassen, dass sie gerade auch in den Kernbereichen Fahrzeugwartung und -service erhebliches Potenzial bietet.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div><\/div><\/div>
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