{"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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June 5, 2026<\/div>\n\n

Guest commentary: How AI is accelerating automotive diagnostics<\/a><\/h4>\n\n
For years, the limiting factor in automotive diagnostics was data \u2014 how to collect it, move it and gather enough to understand what was happening inside a vehicle.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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May 26, 2026<\/div>\n\n

Engineering Has A Context Problem, Generative AI Is The Fix<\/a><\/h4>\n\n
Modern products behave less like applications and more like ecosystems. A single customer experience spans embedded controllers, cloud services, mobile apps, supplier components and real-time data pipelines. <\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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May 20, 2026<\/div>\n\n

Omdia-Studie: KI-Wartung r\u00fcckt beim Softwareauto nach vorn<\/a><\/h4>\n\n
Eine globale Befragung sieht Diagnose und Predictive Maintenance als wichtigste KI-Anwendungen im softwaredefinierten Fahrzeug.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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May 13, 2026<\/div>\n\n

Software-defined vehicles enter era of AI-driven value creation<\/a><\/h4>\n\n
Survey shows smart diagnostics and predictive maintenance emerging as top use cases for AI in software-defined vehicles industry, but expected monetisation yet to materialise<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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May 13, 2026<\/div>\n\n

AI reality check: Converting the hype into fleet uptime and profits<\/a><\/h4>\n\n
Fleets have the potential to save thousands of dollars per vehicle and hours of labor costs with emerging artificial intelligence tied to fleet maintenance. But how do you get beyond the \u201cAI\u201d buzzword into genuine operational solutions?<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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May 12, 2026<\/div>\n\n

SDV survey: AI diagnostics top automakers\u2019 priority list<\/a><\/h4>\n\n
Smart diagnostics and predictive maintenance are now the leading AI use cases inside software-defined vehicles, cited by 34% of respondents in a global survey from Sonatus and Omdia.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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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><\/div><\/div>
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