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Many players in the financial services industry already rely on Neo4j's graph database. For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. In this session, we look specifically at graphs within the financial services industry. We review the types of data typically available within a bank, illustrate the graphs formed from that... Read more →
Watch this webinar on graphs in banking, featuring use cases on fraud detection, IAM and MDM.
 

This Week in Neo4j – Near Natural Language Search in Bloom, Neo4j on Pivotal Container Service, Neo4j – Kafka – MySQL

This week Anurag Tandon shows us how to do Near Natural Language Search in Bloom, and we saw the release Neo4j Enterprise Causal Clustering on Pivotal Container Service (PKS). We also learn how to use Siren, an investigative intelligence platform, with Neo4j, and Dave Fauth has started a series of posts connecting Neo4j, MySQL, and Kafka. Featured Community Member: Dr Vlasta... Read more →

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#GraphCast: How to Deploy Your Graph Database on GKE

Welcome to this week's #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Content & Media Associate, Allison Wu, unearthed our Intro to Graph Databases video series produced by Ryan Boyd. If you're new to graphs, it's the best place to start! This week, I've picked a great intro video by my colleague David Allen on... Read more →

Catch this week's GraphCast: David Allen explains how to deploy your graph database on GKE

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

Many players in the financial services industry already rely on Neo4j's graph database. For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. In this session, we look specifically at graphs within the financial services industry. We review the types of data typically available within a bank, illustrate the graphs formed from that... Read more →

Watch this webinar on graphs in banking, featuring use cases on fraud detection, IAM and MDM.

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Toward AI Standards: Context Makes AI More Robust

Last week, in part two of our series Toward AI Solutions, we explore graph technology as the fabric for AI context: "More recently, graph technologies have been increasingly integrated with machine learning and artificial intelligence solutions. These applications include using connections to predict with better accuracy, to make decisions with more flexibility, to track verifiable data... Read more →

Discover how graph technology makes AI more robust.

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This Week in Neo4j – GraphConnect 2020 Registration Now Open, Data Discovery at Lyft, Finding Motifs in Cypher for Fun and Profit

This week Greta Workman interviewed Mark Grover about Data Discovery at Lyft and we opened registration for the GraphConnect 2020 conference. We also learn about a tool for keeping track of applications in a micro services architecture, and Max De Marzi shows how to use motifs to solve link prediction problems. Featured Community Member: Mark Grover Our featured community members... Read more →

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Compliance at Scale: 5-Minute Interview with Lloyd Byrd

"It was eye-popping to see the amount of good work people were doing with Neo4j," said Lloyd Byrd, Vice President of Application Development and Technology Solutions at Convergys (recently acquired by Concentrix). Complying with the EU’s General Data Protection Regulation (GDPR) is challenging, but even more so at scale. Convergys has more than 120,000 employees worldwide and handles... Read more →

Check out this 5-minute interview with Lloyd Byrd of Convergys.

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