Our areas of research and product development are focused on the following hard problems faced by organizations today.
TRAINING WITH LESS DATA
While organizations today have large amounts of data, their datasets tend to be noisy, incomplete, and imbalanced. This results in data scientists and engineers spending most of their time pre-processing, cleaning, and featurizing the data. These efforts are often insufficient, and deep learning techniques routinely fail on sparse datasets. Organizations are then forced to use classical machine learning techniques that require enormous amounts of manual feature engineering. At RealityEngines.AI, we are pursuing the following three research areas that will enable training on less data.