Neo4j Staff Predictions for 2020

A new year (let alone a new decade) is always a great time to reflect on the year gone past but also where we’re headed. We leaned on some of our most forward-thinking Neo4j colleagues – Amy Hodler, Michael Hunger… Read more →

Explore:  


The Top 7 Neo4j Videos of 2019

In lieu of our bi-weekly #GraphCast, we thought we would share some of the best Neo4j videos from 2019. Consider this an almost-New Year’s Eve celebration of all things video. (No order or favorites here. Just cool videos in a… Read more →

Explore:  


The Top 5 Neo4j Podcasts of 2019

Catch up with all of the best episodes from the Neo4j Graphistania podcast during 2019, including episodes with the rebooted format and new co-host.

Explore:  


8 Awesome Neo4j Blogs from 2019

Check out the top eight Neo4j blogs of 2019, picked ever so lovingly and objectively by our managing editor, who considers every blog we publish her baby.

Explore:  


A Conversation with Graphs

Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →

Explore:  


How Graphs Enhance Artificial Intelligence

Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.

Explore:  


Accelerating Towards Natural Language Search with Graphs

Learn how graphs are used for natural language processing, including loading text data, processing it for NLP, running NLP pipelines and building a knowledge graph.

Explore:  


Visualizing This Week in Tech

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

Explore:  


AI & Graph Technology: How Graphs Accelerate Machine Learning

Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.

Explore:  


AI and Graph Technology: 4 Ways Graphs Add Context

Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.

Explore:  


Graphs in Banking: Integration with AI & Machine Learning [Video]

Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.

Explore:  


Toward AI Standards: Context Makes AI More Robust

Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.

Explore:  


Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs

Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →

Explore:  


Liberating Knowledge: Machine Learning Techniques with Neo4j

Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.

Explore:  


Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]

Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.

Explore:  


Toward AI Standards: Why Context Is Critical for Artificial Intelligence

Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.

Explore:  


Improving Machine Learning Predictions Using Graph Algorithms [Video]

Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.

Explore:  


From Collections to Connections: Where Hadoop Adoption Goes from Here

Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.

Explore:  


The Present and Future of Artificial Intelligence and Machine Learning

Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.

Explore:  


NODES 2019: Launching the Neo4j Online Developer Expo & Summit!

Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.

Explore:  


This Week in Neo4j – How Graph Technology is Changing AI, Processing Neo4j Transaction Events with KSQL, Analysing Neo4j Logs with ELK Stack

This week Jake Graham and Alicia Frame explain How Graph Technology is changing AI, David Allen shows us how to use the ELK stack to analyse Neo4j logs and metrics, and there’s a new release of the Halin monitoring and… Read more →

Explore:  


Save the Date for a Three-Day, Super-Powered GraphConnect 2020 Experience

Save the date for GraphConnect 2020, April 20-22 in Times Square, New York City, and sign up to receive notifications about upcoming event details.

Explore:  


Simplifying Identity Management: 5-Minute Interview with Alex Babeanu

“We’ve tried using LDAP. We’ve tried using SQL databases. It’s just a nightmare to be honest,” said Alex Babeanu, Identity Solutions Architect at Nulli. With smartphones, online services, smart devices, the number of identities that must be managed is exploding,… Read more →

Explore:  


Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera

“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →

Explore:  


The Evolution and Future of Graph Technology: Intelligent Systems

The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →

Explore: