How we approached the problem..

Data can be of various forms, and when we are trying to create predictive models with machine learning or deep learning, we have multiple options. Moreover, due to the nature and the size of the data processing data will require a lot of time.

We created queueing systems to prr-process the data and train the ML/AI modules so the information does not get lost. Also, we have hosted most of the backend functions as Lambda functions for better scalability.