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Dr. Alexander Jarasch, the Head of Data and Knowledge Management at the German Center for Diabetes Research (DZD) and collaborator on COVIDgraph.org, explained how Neo4j for Graph Data Science ...
Alicia Frame, Lead Product Manager and Data Scientist at Neo4j, explained why Neo4j for Graph Data Science is the most expeditious way to generate better predictions. “A common misconception in data ...
Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...
Neo4j is positioning the product as a complement to, rather than a replacement for, conventional data science toolsets. “It’s a ‘better together’ story,” Frame said.
Neo4j just released a new product the graph database provider is billing as the first data science environment "built to harness the predictive power of relationships for enterprise deployments." ...
That’s for the data storage folks. For the data scientists, the company offers Neo4j Graph Data Science Library, a set of comprehensive tools for analyzing graph data.
Neo4j, a provider of graph technology, is launching Neo4j for Graph Data Science, a data science environment built to harness the predictive power of relationships for enterprise deployments. Neo4j ...
Today, 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 ...
They’re part of Neo4j’s broader goal to take graph databases beyond queries of raw data to predict outcomes based on connections. Specifically, the company is adding three new embedding options.
Neo4j Graph Data Science makes it easy for data scientists to work within their existing data pipeline of tools across their ecosystem. Data scientists can use Neo4j Graph Data Science on-premises, ...
Last year, Neo4j introduced Neo4j for Graph Data Science, which the company claims is the first data science environment built to harness the predictive power of relationships for scenarios like ...