In the automotive industry, for example, Tesla's goal of creating safe, efficient autonomous vehicles drives its algorithm choices. It uses advanced machine-learning algorithms to analyze camera, sensor, and radar data to generate real-time predictions that guide steering, braking, and acceleration decisions.
By choosing algorithms designed to handle complex data inputs and make accurate predictions, Tesla continually refines its technology to enhance safety and the driving experience.
Your AI factory’s effectiveness similarly depends not just on your data’s quality but your algorithm’s sophistication and suitability.