Hate Wasting Good Data? Reclaim Predictive Information with Knowledge Graphs

As we move to data-centric AI, we demand higher quality data. Yet, the first step in creating predictive models often involves tossing out predictive information. ML systems struggle to handle the complexities of domain knowledge and entity relationships, so we remove or destroy this data - despite studies that repeatedly show they are highly predictive. In this lightning talk, we’ll look at how data scientists and ML engineers can use a relational knowledge graph to make domain expertise and contextual information available to ML models. Learn how to stop wasting the predictive data you already have.