Practical applications for Machine Learning for multi-source text data

Machine learning is the process by which we teach the machine to try to think like humans by feeding it data that is labelled. Embedding a machine learning or deep learning model for text data involving natural language processing of text as well as building predictive capabilities requires a platform where the data is aggregated, processed, analyzed and insights derived at scale. SearchBlox provides the ability to add a deep learning model for any type of source data. Once setup, the cognitive model can be applied to text information to derive recommendations and insights. Here are the practical applications achieved through the deep learning models within SearchBlox for any type data being indexed from the 75 connectors that SearchBlox provides.