Graph data science: What you need to know

When Alicia Frame, senior director of product management for data science, joined Neo4j about three years ago, she set out to build a best-in-class solution for dealing with connected data for data scientists. The product Frame is leading at Neo4j, aptly called Graph Data Science, is celebrating its two-year anniversary with version 2.0, which brings some important advancements: new features, a native Python client and availability as a managed service under the name AuraDS on Google Cloud.

VentureBeat caught up with Frame to discuss graph data science the concept, and Graph Data Science the product.

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