How to leverage data without compromising privacy? This is the problem that our research on Federated Learning addresses. We are working to make the use of Machine Learning techniques possible in a decentralized way, without data exchange.
How do you know if a person is going to subscribe to an offer because they will receive a voucher ? Or on the contrary, if they would have subscribed to the offer even without a voucher ? Or even if the sending of a voucher will not push them to cancel their current subscription? We are working to provide answers to these questions to enable our clients to conduct more effective strategies.
How can we be sure of the existence of a causal link between data rather than a simple correlation? We work to highlight causal links in order to strengthen the understanding and confidence our clients have in their data analysis.