Plumb5 Machine Translation Algorithm can make a huge difference in the way we perceive data discovery. You can overlay this algorithm over any kind of data sets over which you can simply query in natural language to visualize insights across any data parameter.
The algorithm plays over a modular semantic model, which can be tweaked based on incoming datasets. Based on the incoming parameters, the algorithm will translate the natural language text to machine query, in order to identify the desired parameters. Based on the parameters selected, the model presents raw or computed outputs, derived from rules of the model. Continue reading →