Take full advantage of Machine Learning by going beyond existing data

During the digitization process, most of the knowledge is lost, and it is nearly impossibly to re-capture the lost knowledge using existing data alone. Often, the input of an individual familiar with the situation is required to understand the context surrounding the data. The ability to go beyond existing data and capture implied knowledge significantly improves the performance of the machine learning systems. Today, intelligent systems are designed and built by engineers and data scientists. Statistically significant relationships and patterns are revealed and used to create an information model.