Upcoming Webinars

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On-Demand Webinars


  • Neue Lösungen für Life Sciences und die Pharmaindustrie mit Graphdatenbanken

    In diesem Webinar wollen wir die Grundlagen der Neo4j Graph-Plattform erklären und auf einige ausgewählte Anwendungsfälle eingehen. Dabei soll der Folus insbesondere auf den Herausforderungen in der Pharma- oder Chemiebranche als auch in Life Sciences Unternehmen liegen und es wird aufgezeigt, wie diese mit Graphdatenbanken gelöst werden können. Neben diesem allgemeinen Überblick stellen wir auch einige auswählte Anwendunsgfälle von Kunden (wie z.B. dem Deutschen Zentrum für Diabetesforschung) vor.

  • Maintaining your Data Lineage in a Graph

    Lju Lazarevic, Neo4j Data lineage is an important component in many projects, including master data management, customer journey tracking, and regulatory compliance. It also presents many challenges in its implementation. In this webinar we will explore how and why Neo4j is a natural fit for your data lineage challenges. #DataLineage #GraphDatabase #MDM

  • How to Model Financial Risk with a Graph Database

    Joe Depeau, Neo4j #financialrisk #graphdatabases #riskmodel

  • Device Tracking In Practice: The Workshop

    Aleksander Yabalkarov & Miguel Yepes (The Workshop) discuss how they used Neo4j to build a device tracking fraud detection application. #devicetracking #frauddetection #graphdatabase

  • The Connected Data Revolution in Credit Risk Management

    Nav Mathur & Nir Avrahamov, Neo4j

  • Graph-Based Customer Journey Analytics with Neo4j

    Jesús Barrasa, Neo4j #GraphDatabase #CustomerJourney #Telecom

  • Construire une solution de détection de fraude connectée avec Neo4j

    Cédric Fauvet & Benoit Simard, Neo4j

  • Modelling Complex Financial Instruments with Neo4j

    Joe Depeau, Neo4j

  • Data Import and Modelling with Neo4j

    Michael Hunger, Neo4j

  • How Graphs Revolutionize Identity and Access Management

    Lju Lazaravic, Neo4j

  • Future-Proof Your Risk Management and Compliance with Graph Technology

    Nav Mathur, Senior Director - Global Solutions - Neo4j In the aftermath of the Lehman crisis of 2008, financial services firms face a number of new regulations and risk management challenges. One key regulation is the Fundamental Review of the Trading Book (FRTB), which is part of the upcoming Basel IV set of reforms. The new regulations require banks to reserve sufficient capital to maintain solvency through market downturns and avoid the need for government bailouts. However, in this challenge lies an opportunity

  • How to Build a Fraud Detection Solution with Neo4j

    Joe Depeau, Neo4j

  • Lean Dependency Management: Reduce Project Delivery Chaos with Graphs

    Luanne Misquitta, GraphAware

  • How to Build a Recommendation Engine with Neo4j

    Joe Depeau, Neo4j

  • Introduction to Neo4j Graph Platform

    Jonny Cheetham, Neo4j

  • Neo4j Licensing: Which Edition Is Right For You

    Rik Van Bruggen, Neo4j

  • Previa: Preventing Burnouts with Health Care Data

    Previa is the largest Swedish Occupational Health company. Using graphs, they've been able to find new patterns in people's sick leaves and use these findings to offer preventive care.

  • How to turn GDPR into a Strategic Advantage using Connected Data

    Joe Depeau discusses how Neo4j reveals connections in personal data and demonstrates Neo4j Privacy Shield.

  • Innovative Graph Solutions for Financial Services

    Chris Upkes, Neo4j

  • Introduction to Cypher

    Maria Scharin, Neo4j

  • POLE Investigations with Neo4j

    The POLE data model - Person, Object, Location, Event - is commonly applied to security and investigative use cases such as policing, anti-terrorism, border control, and social services. It’s also a great fit for the graph and graph algorithms. Joe Depeau demonstrates how Neo4j, graph algorithms, and the POLE data model can support police and social services investigations and generate real-time insights using the Neo4j browser as well as some sample Tableau visualisations.

  • Working With a Real-World Dataset in Neo4j: Import and Modelling

    Mark Needham demonstrates how to work with a real-world dataset in Neo4j, with a focus on how to build a graph from an existing dataset.

  • A Connections First Approach to Supply Chain Management


  • Lock down funding for intelligent graph enhanced fraud solutions

    Speakers Rik Van Bruggen, Neo4j and Scott Heath, Expero

  • Build Intelligent Fraud Prevention with ML and Graphs

    Neo4j & Expero

  • Interpreting Relational Schema to Graphs

    Praveena Fernandes (Neo4j) discusses the benefits of graphs vs. relational databases and demos the RDBMS-to-Neo4j ETL Tool.

  • Thwart Fraud Using Graph Enhanced Artificial Intelligence

    Amy Hodler, Analytics Program Manager at Neo4j and Scott Heath, Graph Practice Lead at Expero

  • Graph Analytics: Graph Algorithms Inside Neo4j

    Amy Hodler & Mark Needham

  • Introduction to Neo4j

    Lju Lazarevic, Neo4j

  • Exploring the Bitcoin Blockchain in Neo4j

    Greg Walker, learnmeabitcoin.com

  • Building A GraphQL Service Backed By Neo4j

    Will Lyon, Developer Relations Engineer, Neo4j

  • Knowledge Graphs Webinar

    Petra Selmer, Neo4j Engineer and openCypher member (Cypher Language Group)

  • Graph Solutions for Telecoms

    Telecommunications is all about connections. Graph databases are, therefore, an excellent fit for modelling, storing and querying telecommunications data of all kinds. Whether managing increasingly complex network structures, ever-more-diverse product lines and bundles, or customer satisfaction and retention in today’s competitive environments, graph databases enable businesses to become more agile by leveraging their connected data.

  • Addressing Key Challenges in Financial Services with Neo4j

    Alastair Green - Product Manager, Neo4j Richard Pike - CEO, Governor Software Hosted by

  • Neo4j 3.3 Release

    This webinar details the Neo4j 3.3 release. In 3.3 we focused on improving write and import performance in Community Edition, and cluster throughput and security in the Enterprise Edition. The result is that 3.3 writes are more than 50% faster than 3.2 and twice as fast as 3.1 Speaker

  • Solving GDPR with Neo4j and CluedIn

    The most critical step for companies to have a GDPR solution is having all their data connected and available in one place. We take the viewers through how 95% of companies can reach quick and low-cost compliance utilizing the graph as the connection foundation and CluedIn as the data integration platform that automatically gives companies their single point of customer truth.

  • Knowledge Graphs

    Jeff Morris, Head of Product Marketing

  • Neo4j: Import & Modelling

    Kees Vegter, Field Engineer, Neo4j

  • How to Make your Graph DB Project Successful with Neo4j Services

    Neo4j is widely used across many industries to tackle a multitude of modern-day business challenges. From powering Walmart’s retail recommendation system, to detecting fraud at Fortune 500 financial institutions, to optimizing delivery service routing at eBay, the Neo4j team has helped implement projects across a wide spectrum of industries and use-cases. Hear how other top organisations have quickly and successfully launched their graph database projects by leveraging Neo4j Consulting Services and learn more about the different offerings available.

  • Beyond Big Data: Leverage Large-Scale Connections

    Amy Hodler, Sr. Manager Partner Marketing, Neo4j with Nav Mathur, Senior Director, Global Solutions, Neo4j and Richard Sheppard, Director of Sales, Blair Technology Solutions

  • Einfacher Daten-Import mit Neo4j

    Neo4j Field Team [DE]

  • Native vs Non Native Graphs

    In this recorded webinar, Dr. Jim Webber, Chief Scientist at Neo4j, surveys some of the non-native graph approaches on the market today and shows where they fall short of the native graph approach of Neo4j in terms of efficiency, performance, safety and agility.

  • RDBMS to Graphs

    Ryan Boyd, Developer Relations Engineer, Neo4j

  • Exploring Graph Visualization

    Andreas Kollegger, Product Designer, Neo4j

  • Intro to Cypher

    William Lyon, Developer Relations, Neo4j

  • Intro to Neo4j

    Ryan Boyd, Developer Relations Engineer, Neo4j

  • An Agile & Adaptive Approach to Addressing Financial Services Regulations and Compliance

    Navneet Mathur, Senior Director of Global Solutions, Neo4j with Lee Hong, Senior Data Scientist, Kelsey Bieri, Data Governance Analyst, and Principal - Banking & Financial Services, of ICC

  • Using Graphs to Comply with GDPR

    Andrew Chumney, Single View Solutions Manager, Pitney Bowes with Navneet Mathur, Senior Director of Global Solutions, Neo4j and Alex Batanov, Field Engineer, Neo4j

  • The Native Graph Advantage

    Jim Webber, Chief Scientist, Neo4j