“Neo4j Graph Data Science offerings help developers offer better predictions and stronger recommendation engines to business users,” said Ritika Suri, Director, Technology Partnerships at Google. “Customers can now deploy Graph Data Science on Google Cloud’s trusted, global infrastructure, gaining the ability to seamlessly scale based on business needs, and bringing their data closer to BigQuery and Google Cloud’s capability in AI, ML, and analytics.
“More software developers are looking to data science for ways to offer better predictions and stronger recommendation engines to users. Google Cloud and Neo4j Graph Data Science products help software developers and data scientists who are building the world’s next set of intelligent applications by leveraging the power of graph algorithms to bring context to data and improve their models,” said Suri.
Keywords: data scientists • GDS 2.0 • gds technology • Neo4j for Graph Data Science