The Data Exchange with Ben Lorica

The Future of Graph Databases

Jul 27, 2023

01:01:24

Episode guests

Emil Eifrem

Highlights

AI Chapters

Episode notes

The Role of Data Structure in Patient Journeys

01:20

The Future of Analytical Databases

01:20

The Power of Knowledge

01:20

Introduction

2min

The Evolution of Data Modeling

4min

The Importance of Graph Databases

2min

The Distinctions Between Operational and Analytics

2min

The Growth of Graph Data Science

3min

The Key Tools in Graph Data Science

2min

The Popularity of Graph Neural Networks in Data Science

2min

The Problems With GNNs in Production

3min

The Evolution of Graph Intelligence

6min

10.

The Future of Vector Databases

5min

11.

The Importance of Vector Databases in Deep Learning

3min

12.

The Future of Graph Databases

3min

13.

Embeddings as Part of an Operational System

2min

14.

The Power of Knowledge Graphs

2min

15.

The Future of Knowledge Graphs

2min

16.

The Future of Knowledge Graphs

4min

17.

The High Order Bit of Democratizing Access

2min

18.

The Importance of Custom Foundation Models

2min

19.

The Future of Custom Foundation Models

2min

20.

GPUs for Graph Related Data

2min

21.

Neo4j: How to Build a Community With No Moat

3min

22.

The Secret Sauce of Vector Search

2min

23.

How to Create Mode in a No-Mode World

3min

Emil Eifrem is co-founder and CEO of Neo4j, the leading graph database and graph data science software provider. We discussed a range of topics including: the current state of graph databases, graph data science and graph neural networks, vector databases, the interplay between LLMs, knowledge graphs, and graph databases.

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Detailed show notes can be found on The Data Exchange web site.

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