Um Arcabouço Flexível para Integração de Análise Preditiva e Prescritiva, com Atuação

The Internet of Things (IoT), coupled with other trends, is being generating large amounts of data. All this data volume bring opportunities for knowledge extraction and value creation. The concept of integrating predictive and prescriptive may help the industry and users to be more productive and successful. This work presents a generic framework for prediction, prescription and actuation, enabling developers to easily integrate these concepts and functionalities in their experiments. The framework has a flexible, micro services based, scalable architecture, that provides eciency, fault tolerance and displays a good performance in IoT and cloud computing scenarios. An implementation of the proposal is presented and significant results are obtained.