Upcoming Webinars

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On-Demand Webinars


Graphs in Banking Integration with AI and Machine Learning Technologies

At Neo4j we believe that ‘Graphs Are Everywhere’. In this session, we’ll be looking specifically at graphs within the Financial Services industry. We’ll review the types of data that are typically available within a bank, illustrate the graphs can be formed from that data, and discuss the use cases that those graphs can enable and support. The use cases presented will include Anti-Money Laundering and Fraud Detection and Prevention (including integration with AI and Machine Learning technologies), Regulatory Compliance (such as BCBS 239 and GDPR), Customer 360 View, Master Data Management, and Identity and Access Management. Many players in the Financial Services industry already rely on Neo4j's graph database

Neo4j Licensing. Which Edition is Right for You

Neo4j has long been recognised as the world's leading graph database, and now is expanding to be a true platform for Enterprise Graph Applications. Now is a better time than ever to explore which version of Neo4j you should be using considering the product features and/or services you want to benefit from. In this webinar, we'll walk through the different versions of Neo4j, discuss and show their remits, and present what the alternative (open source or commercial) licensing options may be. Specifically, we'll dig into the free open-source, free commercial (for individuals, startups, and academics) and paid commercial options and answer any questions that you may have.

Graph Powered Digital Asset Management with Neo4j

Managing digital assets and instance-level metadata is critical to many company's business. It affects everything from content availability to analysis of customer usage behavior to the ability to get insights to monetization potential, and drive business innovation. In this session, Jesús will explain how companies are leveraging the advantages of a graph platform like Neo4j over traditional relational databases and other types of data and metadata stores for DAM and discuss the success stories of Scripps Networks and Adobe Behance.

Cloud OnAir: Why You Need Graph Technology on GKE

To truly understand the value of your data, you need to uncover the connections. From Customer 360 to recommendation/pricing engines to travel, financial services, telecommunications and more, graph technology is the solution to do just that. In this webinar, we’ll describe the advantages of running Neo4j in the Google Kubernetes Enterprise (GKE) environment and show you how graph technology can be used to enhance existing applications or act as the basis for new graph-driven applications.

Neo4j Data Loading with Kettle

We will describe and demonstrate all the options for loading data into Neo4j and for getting it back out, all using Kettle (Pentaho Data Integration). Among the topics covered will be

Intelligence led Policing with Neo4j

To help you explore how to prevent and solve crimes using the power of graphs we have developed the Crime Investigation Sandbox. Data for the Crime Investigation Sandbox is organised based on the POLE data model, commonly used in policing and other security-related use cases. POLE stands for Persons, Objects, Locations, and Events. The sandbox comes pre-loaded with sample data and a step-by-step guide with queries and explanations . In addition you might watch my video explaining the concept in detail. Everything you need to get going with your Crime Investigation!

Intro to the Neo4j Graph Platform

Anthony Flynn, Neo4j

How to get started with Bloom

Neo4j Bloom is a breakthrough graph communication and visualization product that allows graph novices and experts the ability to communicate and share their work, thoughts, and plans with peers, managers, and executives. Its illustrative, codeless search to storyboard design makes it the ideal interface for non-technical project participants to share in the innovative work of their graph analytics and development teams. In this webinar, you will learn how to

How to Improve Anti-Money Laundering Investigation using Neo4j

Joe Depeau, Neo4j #AML #GraphDatabases #Neo4j

Neue Lösungen für Life Sciences und die Pharmaindustrie mit Graphdatenbanken

Bruno Ungermann [DE]

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

Find out how to use Neo4j to understand, visualize and influence your customers' journeys in the form of recommendations, cause analysis or personalization. Jesús Barrasa, Field Engineer, 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