NODES 2020 – Neo4J Expo&Summit

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, starting 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.
Do you want to re-watch our talks?
Artificial Intelligence:
To trust or not to trust?
With:
Lorenzo Speranzoni – CEO LARUS
Surya Josyula – MARKETING DIRECTOR Fujitsu Labs of America
Lighting fast zero to production with SPRING, NEO4J and JHIPSTER
With
Giuseppe Villani – SW Developer LARUS
Davide Fantuzzi – Data Engineer LARUS
“Create a Graph Data Pipeline with APACHE SPARK and NEO4J”
With:
M. David Allen– Technology partner architect NEO4J
Andrea Santurbano – CTO LARUS