KnowledgeGraphs are one of the most promising areas in the Artificial Intelligence field. Many AI researchers believe that Deep Learning on its own will never be much more than sophisticated pattern recognition: Great for facial recognition or language translation, but short of true intelligence.

Incorporating domain knowledge into Machine Learning model architectures and algorithms will overcome this. Three classes of Domain Knowledge are being considered: relational, logical, and scientific knowledge. Relational knowledge is best represented through graphs.

Please join us for a discussion with two experts in this field:

David Malkin - Cogent Labs Cogent Labs’ mission is to research and develop cutting-edge Artificial Intelligence in order to solve the previously impossible. Through real-world applications of our technology we aim to bring meaningful and transformative impact to society with the ultimate goal of enhancing the overall quality of life. Cogent Labs is one of the fastest growing AI startups in Japan.

Brandon Richards - Neo4j Neo4j is the leading graph database platform that drives innovation and competitive advantage at Airbus, Comcast, eBay, NASA, UBS, Walmart and more. Thousands of community deployments and more than 300 customers harness connected data with Neo4j to reveal how people, processes, locations and systems are interrelated. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges including artificial intelligence, fraud detection, real-time recommendations and master data.

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