Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019|Reading time: 1 minute
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Explore: ai • banking • financial services • fraud • graph database • iam • machine learning • Master Data Management • MDM • webinar
Compliance at Scale: 5-Minute Interview with Lloyd Byrd
By Jocelyn Hoppa
July 12, 2019|Reading time: 4 minutes
Check out this 5-minute interview with Lloyd Byrd, VP of Application Development and Technology Solutions at Convergys, who uses Neo4j for GDPR compliance.
Explore: 5-minute interview • CluedIn • compliance • Convergys Corporation • GDPR • graph database • graph technology • graphconnect • Lloyd Byrd • neo4j • Scale
Build the Future: GraphConnect 2020 Registration Is Officially Open
By Jocelyn Hoppa
July 11, 2019|Reading time: 1 minute
Register for GraphConnect 2020, happening April 20-22 in Times Square, New York city, for the greatest global gathering of the graph technology community.
Explore: emil eifrem • graph database • graph technology • graphconnect • neo4j
Toward AI Standards: Graph Technology as a Fabric for Context
By Jocelyn Hoppa
July 8, 2019|Reading time: 3 minutes
Read this second blog in a series dedicated towards setting a standard for AI, and why graph technology weaves connections to create much-needed context.
Explore: contextual data • data connections • graph database • graph platform • graph technology • Graph Theory • property graph model • Relational Databases
#GraphCast: Intro to Graph Databases
By Allison Wu
July 5, 2019|Reading time: 1 minute
Check out this week’s #GraphCast, featuring Ryan Boyd in his video series, Intro to Graph Databases, and learn how to become a graphista in no time!
Explore: cypher • graph database • graph query language • GraphCast • neo4j • relational data
Collaborative Technology Intelligence Platform
By Jocelyn Hoppa
June 26, 2019|Reading time: 10 minutes
Discover how DuPont uses Neo4j to solve global challenges and share information with its diverse group of end users including scientists and engineers.
Explore: Business Intelligence • DuPont • graph database • graph traversal • graphconnect • knowledge management system • native graph database • neo4j • sql • technology intelligence
#GraphCast: Glad Midsommar!
By Jocelyn Hoppa
June 21, 2019|Reading time: 1 minute
In this week’s GraphCast, learn why you won’t be able to reach Neo4j employees on this day. We have the day off for Swedish Midsummer.
Explore: graph database • GraphCast • Jim Webber • Midsommar • neo4j • nubbe • summer solstice • Swedish Midsummer
Accelerating Digital Transformation at CA Technologies with Neo4j
By Jocelyn Hoppa
June 19, 2019|Reading time: 9 minutes
Discover how CA Technologies used Neo4j to share enriched data between their sales, development and IT teams to create a company-wise database.
Explore: ApacheSpark • Business Intelligence • cloud • Databanks • digital transformation • graph database • graphconnect • Knowledge Graph • sql • STAR
Google Kubernetes Engine and Neo4j: Ease, Power and Flexibility
By Jocelyn Hoppa
June 17, 2019|Reading time: 4 minutes
Learn about the benefits of running Neo4j on GKE, including ease of deployment, technical flexibility, autoscaling and security.
Explore: autoscaling • containers • GKE • Google Cloud Platform Marketplace • Google Kubernetes Engine • GRANDstack • graph database • GraphQL • Kubernetes • relational database • Security
Avoiding Database JOINs: 5-Minute Interview with Michael Wytock
By Jocelyn Hoppa
June 14, 2019|Reading time: 3 minutes
In this 5-minute interview with Michael Wytock, CEO of Coshx, you’ll learn how a graph data model improves stackholder communications and more.
Explore: 5-minute interview • Coshx • data analytics • data model • graph database • Joins • Michael Wytock • relational database • sql • tabular data
Google Kubernetes Engine and Neo4j: Power Your Apps with Graphs
By Jocelyn Hoppa
June 10, 2019|Reading time: 3 minutes
Discover the power of containers about Kubernetes’ GKE in combination with a Neo4j graph database to solve connected data problems.
Explore: containers • elasticsearch • GKE • Google Cloud Platform Marketplace • Google Kubernetes Engine • graph database • Kubernetes • MongoDB • relational database
Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]
By Bryce Merkl Sasaki
June 6, 2019|Reading time: 3 minutes
Discover what’s new in the 1.1 release of the Neo4j Bloom graph data visualization tool, including internet browser capabilities and new role-based security.
Explore: Connected Data • cypher • Data Visualization • dba • Graph Analytics • graph database • graph traversals • graph visualization • Neo4j Bloom • Neo4j Desktop
Graphs in Government: A NASA Knowledge Graph
By Jocelyn Hoppa
June 3, 2019|Reading time: 4 minutes
Learn how NASA uses Neo4j to close the data gaps between departments and individual groups to capture a large amount of project data.
Explore: government • graph database • graph technology • Knowledge Graph • Lessons Learned Database • Mission to Mars • nasa • neo4j
Graphs and RegTech: 5-Minute Interview with Julian Schibberges
By Jocelyn Hoppa
May 31, 2019|Reading time: 2 minutes
Check out this 5-minute interview with Julian Schibberges, Managing Director of the Bernstein Group on why graph databases are the future of RegTech.
Explore: 5-minute interview • compliance • graph database • Julian Schibberges • Kerberos • neo4j • RegTech
Graphs in Government: Lockheed Martin Space
By Jocelyn Hoppa
May 27, 2019|Reading time: 4 minutes
Learn how Lockheed Martin Space connects all of its data silos by storing the relationships between the data and those systems in a Neo4j graph database.
Explore: CAD models • data silos • government • graph database • impact analysis • Lockheed Martin Space • root cause analysis • supply chain • system integration
The Seven Bridges of Königsberg: A Dog’s Eye View
By Jocelyn Hoppa
May 23, 2019|Reading time: 7 minutes
Follow Armstrong as he pathfinds his way through North London, with the help of graph algorithms, discovering new routes to cover more territory.
Explore: cypher • graph algorithms • graph database • Leonhard Euler • neo4j • pathfinding • Seven Bridges of Königsberg • shortest path • temporal view
Graphs in Government: MITRE
By Jocelyn Hoppa
May 20, 2019|Reading time: 2 minutes
Discover how MITRE developed CyGraph, a tool for cyber warfare analytics, visualization and knowledge management, using Neo4j.
Explore: cyber warfare analytics • cybersecurity • data ingestion • data model • government agencies • graph database • graph visualization • knowledge management • mitre • property graph
Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
By Jocelyn Hoppa
May 17, 2019|Reading time: 3 minutes
Check out this 5-minute interview with Stephen O’Grady, Co-Found of Redmonk, on how developers should consider the broader implications of what they build.
Explore: 5-minute interview • artificial intelligence • deep learning • graph database • graph technology • Hillary Mason • IoT • machine learning • neo4j • Stephen O'Grady
Graphs in Government: How In-Q-Tel Brings Tech Innovation to Intelligence Agencies
By Jocelyn Hoppa
May 13, 2019|Reading time: 3 minutes
Discover how In-Q-Tel uses Neo4j to surmount data challenges to support tech innovations that drive America’s intelligence missions.
Explore: government • graph database • In-Q-Tel • intelligence agencies • neo4j • rdbms • relational database • startups • tech innovation • VCs
Graphs in Government: The U.S. Army
By Jocelyn Hoppa
May 6, 2019|Reading time: 3 minutes
The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how… Read more →
Explore: analytics platform • cost management • government • government agencies • graph database • logistics • neo4j • supply chain • supply chain management • u.s. army
Connecting Compliance: 5-Minute Interview with Christian Tsambikakis
By Jocelyn Hoppa
May 3, 2019|Reading time: 2 minutes
Check out this 5-minute interview with Christian Tsambikakis, CEO of KERBEROS Compliance and learn how they use Neo4j for their compliance solution.
Explore: 5-minute interview • anti-money laundering • Christian Tsambikakis • compliance • financial services • graph database • Kerberos • neo4j • Structr
Going Underground: Graphing and Pathfinding London Tube Lines
By Jocelyn Hoppa
May 2, 2019|Reading time: 6 minutes
Read the latest installment of Joe Depeau’s blog series on graphing and pathfinding the London Underground, complete with Cypher queries and data models.
Explore: geospatial query • graph algorithms • graph database • London Tube • meta-graph • neo4j • pathfinding • public transportation • weighted shortest path
Check Out the Newly Revamped Neo4j Administration Online Training Course
By Jocelyn Hoppa
April 30, 2019|Reading time: 4 minutes
Read this blog to learn details about the recent overhaul we gave to the free Neo4j Administrative online training course. Enroll today.
Explore: Causal Clusters • cypher • graph database • Neo4j 3.5 • Neo4j Administration • Neo4j Enterprise Edition • online training course
Graphs in Government: The Power of Graph Technology
By Jocelyn Hoppa
April 29, 2019|Reading time: 4 minutes
The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how… Read more →
Explore: Connected Data • criminal investigations • government • graph database • graph technology • nasa • neo4j • rdbms • relational database • u.s. army
Transforming the Enterprise: AI at Scale with Neo4j
By Jocelyn Hoppa
April 24, 2019|Reading time: 18 minutes
Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.
Explore: AI at scale • customer 360 • enterprise AI • fraud detection • Graph Analytics • graph database • graph learning • graph recommendation engine • graphconnect • machine learning
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