The New Stack Podcast

Neo4j’s Emil Eifrem on Graph Databases, Machine Learning, and More

Episode Summary

When it comes to machine learning and GraphDB, “We’re in the first inning of a nine-inning game,” said Emil Eifrem, CEO and founder of Neo4j.  “If you look at machine learning algorithms, they are written in graph language, or can be expressed in graph language.” Eifrem joins TC Currie in this episode of The New Stack Makers.  Speaking from Fort Mason in San Francisco at the GraphTour event earlier this year, Eifrem talks about graph databases, how they are different from relational databases, and how this decade-old technology is keeping up with the new kids on the block.

Episode Notes

When it comes to machine learning and GraphDB, “We’re in the first inning of a nine-inning game,” said Emil Eifrem, CEO and founder of Neo4j.  “If you look at machine learning algorithms, they are written in graph language, or can be expressed in graph language.”

Eifrem joins TC Currie in this episode of The New Stack Makers.  Speaking from Fort Mason in San Francisco at the GraphTour event earlier this year, Eifrem talks about graph databases, how they are different from relational databases, and how this decade-old technology is keeping up with the new kids on the block.