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This post originally appeared on the Emil Eifrem blog on 24 June 2019. Just last month, we had a great opportunity to be part of a larger conversation around AI standards. In particular, we responded to this request for information (RFI) from the United States National Institute of Standards and Technology (NIST) to create a plan for Federal engagement that supports reliable, robust and... Read more →
Learn why Emil Eifrem believes context is essential for AI standards – both ethical and technical
 

Collaborative Technology Intelligence Platform

Editor’s Note: This presentation was given by Fan Li at GraphConnect New York in October 2017. Presentation Summary Fan Li is a Principal Data Scientist at DuPont. Dupont began as a science company with a mission to deliver sustainable and innovative solutions to some of the world’s greatest challenges. Today, DuPont has diversified that mission into other businesses such as... Read more →

Learn from Fan Li's presentation on how to solve global challenges for DuPont using graph databases.

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Toward AI Standards: Why Context Is Critical for Artificial Intelligence

This post originally appeared on the Emil Eifrem blog on 24 June 2019. Just last month, we had a great opportunity to be part of a larger conversation around AI standards. In particular, we responded to this request for information (RFI) from the United States National Institute of Standards and Technology (NIST) to create a plan for Federal engagement that supports reliable, robust and... Read more →

Learn why Emil Eifrem believes context is essential for AI standards – both ethical and technical

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This Week in Neo4j – Visualizing BloodHound Data with PowerBI, College Admissions Scandal Visualized, New Release of Structr

This week Robert Schäfer and Grzegorz Leonie show us how they use Neo4j and GraphQL to build Human Connection, and Andy Robbins visualised Bloodhound data using PowerBI. We also have a detailed tutorial on monitoring Neo4j with Prometheus, a new release of Structr, and the college admissions scandal visualised. Featured Community Members: Robert Schäfer and Grzegorz Leoniec Our... Read more →

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#GraphCast: Glad Midsommar!

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, Bryce Merkl Sasaki put the spotlight on Neo4j's Chief Scientist Jim Webber, who is a graph database technical guru (a thing I just made up, but not untrue!). Don't sleep on Jim's tidbits of graphy wisdom. This week, I decided it would be fun to... Read more →

Glad midsommar from Neo4j!

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Improving Machine Learning Predictions Using Graph Algorithms [Video]

Graph enhancements to artificial intelligence (AI) and machine learning (ML) are changing the landscape of intelligent applications. For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. In this session, we focus on how using connected features improves the accuracy, precision and recall of machine learning models. We discuss how... Read more →

Check out this webinar on graph algorithms’ impact on the landscape of intelligent applications.

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Accelerating Digital Transformation at CA Technologies with Neo4j

Editor’s Note: This presentation was given by Peng Sun at GraphConnect New York City in September 2018. Presentation Summary CA Technologies was undergoing a digital transformation when they began incorporating Neo4j. They understood that multifaceted problems require different solutions, and sought to cover much more of their extensive data landscape. They were looking for a... Read more →

Learn from Peng Sun's presentation on accelerating digital transformations with Neo4j.

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