Getting Better Analytics Insights with Graph-Powered Data Science
As more businesses realise the value of connections, graph-powered data science will be an important part of the enterprise data scientist’s toolbox over the next decade. One challenge many teams encounter is understanding how to operationalise graphs in their existing ML practices. Adopters of graph data science report that machine learning is much more rapidly deployed with purpose built graph technology.
Read more: https://digitalisationworld.com/blogs/56832/data-analytics-neo4j
Keywords: Big Data • Connected Data • data science • graph data science • real-time data analytics