With 15+ years of experience in business-critical projects and almost a decade in large-scale data-driven systems based on Neo4j, other NoSQL technologies and streaming process tools, beginning this year LARUS has started a new challenge heading to graph explainable artificial intelligence (XAI).
When we use AI to predict the risk of an investment, take lending decisions, provide explanations for high-scoring cases of suspected fraudulent activities or recommend a medical treatment, black-boxed AI is not suited: human experts must be able to validate the truth of AI produced results and gain new insights and graph technologies add the required context for this level of explainability.
At Nodes2020, Larus is introducing "Galileo XAI", the brand new LARUS graph-based platform for explainable AI powered by Fujitsu Deep Tensor®, Linkurious and Neo4j.
