CLOUD ADVANTAGES

The model central location enables its training using multiple data sources that can be spread all over the world, i.e. for a global modelling. Powerful computational resources that can be involved into the remote computing are necessary to solve modern “big data” problems. The main advantages of having multivariate “on a cloud” are related to the central hosting of the data and models that facilitates their use and share. The data can be easily uploaded from a spectroscopic device and analyzed. The data analysis work is therefore automatically backed-up and synchronized. Its a full-featured multivariate toolbox for quantitative, qualitative and exploratory data analysis.

The cloud platform will be so simple that any customer who wants to develop an application would only need to tell the cloud what parameters he needs to measure and provide to the cloud training data. Once the training is done the model using AI algorithms will be able to predict any future sampling. The models could be used for classification and prediction .