Toward AI Standards: Context Makes AI More Reliable and Trustworthy
By Jocelyn Hoppa
July 22, 2019 7 mins read
Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.
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Dataversity: The Emergence of ”Metadata Science”, Using Neo4j Graph Technology for Data Modeling
August 6, 2018
Explore: cloud Clustering architecture Concept maps Connected Data cypher data model data modeling DDL Graph Databases graph query language
Compare the Cloud: How Swedish Telecom giant Telia used Neo4j to create a new smart home platform
August 2, 2018
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Neo4j Launches Commercial Kubernetes Application on Google Cloud Platform Marketplace
July 20, 2018
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Neo4j Included in ODBMS.org – The Next Generation of Service Assurance: Your Network Is a Graph
July 16, 2018
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The Next Generation of Service Assurance:
Your Network Is a Graph
By Jocelyn Hoppa
July 16, 2018 3 mins read
Service complexity is exploding. Communication Service Providers (CSPs) need a complete view of their network and its myriad interdependencies to drive real-time decisions and predict the impact of changes on the user experience. A native graph approach makes sense of… Read more →
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