From unstructured text to knowledge graphs: how to leverage dark data
The banking world is full of dark data: unstructured information that does not live in orderly databases. As we move toward conversational applications, the ability to dig up dark data will become even more critical. While companies say they want a single view of the customer, what they really need is a multi-dimensional view so that every business stakeholder can look at a client’s information from the perspective that matters to them. Deep learning methods such as named entity recognition and co-reference resolution are used to find structure in unstructured data and populate knowledge databases and graphs.
Present Edouard d'Archimbaud is a data scientist in charge of the Data Science and Artificial Intelligence Lab for BNP Paribas CIB. He joined the group in 2016, having previously held different positions focusing on advanced technological research and operational projects in major banking institutions and hedge funds.
Education Edouard graduated from Ecole Polytechnique in Paris, with a specialisation in applied mathematics and computer science. He holds a M.Sc. in Machine Learning and Computer Vision from ENS Cachan.