Case Study
Was Es Braucht, um KI in der Automobilindustrie zu Liefern
KI-Systeme für Fahrzeuge zu entwickeln ist nicht wie KI für Web-Apps. Das haben wir gelernt, als wir Engineers in eines der sicherheitsbewusstesten Automobilunternehmen der Welt integrierten.
Überblick
Die meiste KI-Entwicklung bewegt sich schnell und bricht Dinge. Automotive-KI kann nichts brechen—sie steuert zwei Tonnen schwere Fahrzeuge mit Autobahngeschwindigkeit. Die Fehlertoleranz ist null, und "schnell bewegen" bedeutet etwas anderes, wenn Menschenleben auf dem Spiel stehen.
Als Volvo uns hinzuzog, mussten sie ihre KI-Fähigkeiten beschleunigen und gleichzeitig die Sicherheitsstandards beibehalten, die die Marke definieren. Sie brauchten Engineers, die sowohl Machine Learning als auch die Realität verstanden, dass ihr Code in Fahrzeugen laufen würde, nicht auf Servern.
Was wir getan haben
Nordbeams Engineers integrierten sich nahtlos in unser Team und lieferten KI-Lösungen, die unsere Erwartungen übertrafen. Ihre Expertise sowohl in Automotive-Systemen als auch in Machine Learning war von unschätzbarem Wert.
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