Graphs as a foundational technology stack: analytics, AI, and hardware. Featuring Neo4j CEO and Founder Emil Eifrem, Graph Data Science Director Alicia Frame artwork
Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

Graphs as a foundational technology stack: analytics, AI, and hardware. Featuring Neo4j CEO and Founder Emil Eifrem, Graph Data Science Director Alicia Frame

  • S2E20
  • 1:03:41
  • May 28th 2021

Graphs are everywhere. That has been the motto of graph afficionados for years, and now it seems that the world is waking up to this.

How would you feel if you saw demand for your favorite topic, which also happens to be your line of business, grow 1000% in two-years time? Vindicated, overjoyed, and a bit overstretched in trying to keep up with demand, probably.

Although Emil Eifrem never used those exact words when we discussed the past, present and future of graphs, that's a reasonable projection to make. Eifrem is the CEO and co-founder of Neo4j, a graph database company which lays claims to having popularized the term "graph database", and to leading the graph database category.

Eifrem and Neo4j's story and insights are interesting because through them we can trace what is shaping up as a foundational technology stack for the 2020s and beyond: graphs.

"Graph Relates Everything" is how Gartner put it, when including graphs in its top 10 data and analytics technology trends for 2021. Interest is expanding as graph data takes on a role in master data management, tracking laundered money, connecting Facebook friends and powering Google, in search and beyond. 

Think Panama Papers researchers, NASA engineers, and Fortune 500 leaders: they all use graphs. Here's why, and how.

Article published on VentureBeat.

Image: Getty Images

Orchestrate all the Things podcast: Connecting the Dots with George Anadiotis

I've got tech, data, and media, and i'm not afraid to use them.

My name is George Anadiotis, and i am a writer, a planner and a doer. I am an Onalytica Top 100 Influencer in Big Data and Cloud, a Knowledge Graph expert, and a P2P Foundation and ZDNet contributor, among other things.

Linked Data Orchestration is my brand. This podcast is where i share my work, as well as conversations with people who bring interesting news and views to the table.

Some might call this futurism; let's just say it's connecting the dots.

Coming from a technology background, i've had the chance to learn to play many instruments on the way to becoming a one man band and an orchestrator.

Before starting a career as an analyst and journalist, i served Fortune 500, startups and NGOs as a consultant, built and managed projects, products and teams of all sizes and shapes, and got involved in award-winning research. I still try to do that stuff as much as possible.