{"id":17614,"date":"2023-04-28T17:13:49","date_gmt":"2023-04-28T17:13:49","guid":{"rendered":"https:\/\/www.sonatus.com\/newsroom\/"},"modified":"2024-10-07T20:05:12","modified_gmt":"2024-10-07T20:05:12","slug":"newsroom","status":"publish","type":"page","link":"https:\/\/www.sonatus.com\/fr\/entreprise\/newsroom\/","title":{"rendered":"Salle de presse"},"content":{"rendered":"
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Salle de presse<\/span><\/h1>Communiqu\u00e9s de presse<\/span><\/a> Sonatus dans les m\u00e9dias<\/span><\/a> T\u00e9l\u00e9charger notre kit m\u00e9dia<\/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

Michelin s\u00e9curise la conduite avec un double num\u00e9rique des pneus \u00e0 bord des v\u00e9hicules<\/a><\/h4>\n\n
Face \u00e0 un march\u00e9 du pneumatique d\u2019entr\u00e9e de gamme capt\u00e9 par les entreprises chinoises, Michelin choisit la valeur ajout\u00e9e avec une solution logicielle de jumeau num\u00e9rique de pneus qui apporte de la valeur ajout\u00e9e aux v\u00e9hicules.<\/div>\n \n <\/div>\n <\/div>\n\n\n<\/div><\/div>
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May 20, 2026<\/div>\n\n

Avec le jumeau num\u00e9rique universel du pneu, Michelin murmure \u00e0 l\u2019oreille des v\u00e9hicules pour la s\u00e9curit\u00e9 de tous les automobilistes<\/a><\/h4>\n\n
Michelin d\u00e9voile son jumeau num\u00e9rique universel du pneu capable de transformer en temps r\u00e9el les donn\u00e9es du v\u00e9hicule en informations exploitables pour formuler des recommandations au v\u00e9hicule ou \u00e0 son conducteur. Michelin combine 130 ans d\u2019expertise dans la physique du pneumatique avec des mod\u00e8les math\u00e9matiques avanc\u00e9s, l\u2019apport de l\u2019Intelligence Artificielle et des algorithmes de data science.<\/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

Les futures voitures Nissan tourneront sous Linux gr\u00e2ce \u00e0 un accord historique avec Red Hat<\/a><\/h4>\n\n
Nissan a officiellement s\u00e9lectionn\u00e9 mardi Red Hat et son syst\u00e8me d'exploitation Linux embarqu\u00e9 pour piloter son futur ordinateur central de v\u00e9hicule. Un accord qui va compter pour l'automobile d\u00e9finie par logiciel.<\/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

V\u00e9hicules d\u00e9finis par logiciel : une \u00e9tude r\u00e9cente confirme le passage \u00e0 un nouveau stade de maturit\u00e9 gr\u00e2ce \u00e0 l\u2019IA<\/a><\/h4>\n\n
Une \u00e9tude mondiale r\u00e9v\u00e8le que la maintenance pr\u00e9dictive s\u2019impose comme le principal levier de valeur pour les constructeurs. <\/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 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

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><\/div><\/div>
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