Connecting data from different silos for analysis should be a priority for any organization looking to get insight from vast amount of data being collected. With an analytics engine developed to analyze multiple datasets in one go the [AI] Platform quickly identifies trends, anomalies and makes predictions that gives users insight they can take action on.
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The Context Engine is a knowledge graph system used to process output from the analytics engine and find possible factors that can add context to the data reported. It accesses multiple datasets in our data warehouse that stores a diverse range of quality verifiable data such as relevant events dates, weather data, holidays and social economic data.
The Cognitive Engine is a self-learning system that harnesses the capabilities of the Analytics Engine, Neural Network and the Context Engine to mimic the reasoning process and show intelligence. It is the powerhouse of the [AI] Platform.
Using powerful Neural Network libraries such as Tensorflow, the Neural Network is a deep learning system used by the regression algorithms of the analytics engine and Natural Language Processing system used by myDATA.
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