AI in Data Selection

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Not all data are equally valuable: When it comes to training AI systems - for example for #AutonomousDriving - quantity alone is not enough. Selecting the right data from your data lake is essential in training algorithms, to make them capable of handling rare, but potentially critical situations and scenarios.

Watch our newest Innovation Coffee Break to learn, how Intempora IVS helps you to manage these data lakes and choose the right data.

#ArtificialIntelligence #VirtualShowroom #ADASAD #DataManagement


Nikolas Hemion

Nikolas Hemion

Manager Automated Driving & Software Solutions - ADSS

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