Neo4j Chief Scientist Explains the Growing Importance of Graph Data Science Part 2

Traditional data science is good at managing clear and simple relationships within data sets. However, as data sets are becoming more varied, complex and convoluted, we now see organisations turning to something called graph data science, or graph analytics, which are often built on top of graph databases.

To understand more about graph data science and how organisations can use it to improve their insights, watch the second part of the video linked below as DSA interviews Jim Webber, Chief Scientist from Neo4j.

Missed Part 1 of the interview? Catch it here: