Transforming the Enterprise: AI at Scale with Neo4j
By Jocelyn Hoppa
April 24, 2019 21 mins read
Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.
Explore: AI at scale • customer 360 • enterprise AI • fraud detection • Graph Analytics • graph database • graph learning • graph recommendation engine • graphconnect • machine learning
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018 3 mins read
Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →
Explore: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
Knowledge Graphs: The Path to Enterprise AI
By Jocelyn Hoppa
July 11, 2018 28 mins read
Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →
Explore: Connected Data • data mobilization • enterprise AI • enterprise search • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine