The headline that we read every day is of automotive insurance. The media never portrays both sides of the story. In most cases in the interest of ratings, the media showcases the automotive dealers or the insurance firm as the bad guys. Like the old saying “History is written by the victors” we never know […]
Cognitive Computing in Automotive
Cognub challenges automotive domain problems with the use of Machine Learning methods/algorithms. Intelligent assistance and prediction is a problem domain where it is difficult to provide precise specifications for desired system/program behavior. Selecting correct feature vectors requires involvement of domain experts, and selecting correct algorithms requires experienced data scientists. So we work together closely – not only to select correct feature vectors and learning algorithms, but also to define the problem domain and business objectives, validate the selected algorithm in terms of functionality and performance metrics, and collaborate with business teams to finally deploy the learning algorithms in products to demonstrate tangible business benefits.