US EVENTS
April 13th -14th, 2022
Discuss the vast threat landscape facing the nation and the local community alike.
April 20th, 2022
Apex Private Roadshow Dinner Series are customized turnkey engagements that are tailored to meet your unique business needs.
April 28th, 2022
Our assembly gives executives and service providers the opportunity to engage with like-minded executives and industry leaders both physically and virtually.
June 21st, 2022
Apex Private Roadshow Dinner Series are customized turnkey engagements that are tailored to meet your unique business needs.
June 28th, 2022
CDO and Heads of Artificial Intelligence / Machine Learning have become the most dynamic amongst their peers.
Apex Seattle Private Dinner CIO & CTO Digital Transformation
July, 2022
Apex Private Roadshow Dinner Series are customized turnkey engagements that are tailored to meet your unique business needs.
August 16th-18th, 2022
Ai4 2022 brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology.
August 22nd-24th, 2022
Unleash Innovation. Transform Uncertainty.
October 10th-12th, 2022
Our award winners are the innovative thinkers and problem solvers of the world, and we are honored to be able to recognize them!
Evanta CDO Executive Summit - Chicago
November, 2022
Get together with Chicago’s top CDOs to tackle shared business challenges and critical priorities facing your role today.
EMEA EVENTS
March 31st, 2022
Keep up to date with the latest knowledge and thought leadership on fraud prevention, detection, and investigations.
April 14th-16th, 2022
Attend our session on Blockchain Analysis with Graph Neural Networks.
May 18th & 19th, 2022
Heiter bis wolkig. Clouds & Co. für Transparenz und Resilienz.
US EVENTS
Introducing TigerGraph, a Native Parallel Graph Database
By Yu Xu, TigerGraph founder and CEO Today we proudly launch TigerGraph, a ground-breaking technology built from the ground up to address a critical pain
New: TigerGraph Test Drive Demo Videos
Imagine the relational discovery or analytics you could perform.. if you could traverse 10+ hops in a billion-vertex graph as fast as your can click
Security Features in TigerGraph
TigerGraph knows how important security and productivity are to enterprises. That’s why we’re announcing the capability to define multiple graphs, separate or overlapping, each with
Welcome to the Graph Database Market, Amazon Neptune
The graph database market is red hot and growing rapidly. It’s exciting to see cloud service giants now also positioning themselves as graph database providers:
Webinar: TigerGraph – The Enterprise Graph Database and Analytics Platform
Whether it’s for customer analytics, fraud detection, or risk assessment, you need real-time graph capabilities that can explore, discover and predict complex relationships. This is
Infographic: The Graph Database Landscape
Graph databases are the fastest growing category in all of data management, according to DB-Engines.com. What makes graph databases so popular? Graphs overcome the big
Fighting Money Laundering with Real-Time Deep Link Analytics
Today, criminals are using extremely sophisticated, ever-adapting tactics to bypass traditional anti-fraud solutions for money laundering. Any organization facilitating financial transactions – including non-bank money
Introducing TigerGraph 2.0
Today we are proud to announce TigerGraph 2.0 with real time MultiGraph collaboration services – an industry first that supports upcoming GDPR requirements. The release
Detecting Fraud & Anti-Money Laundering (AML) Violations In Real-Time
https://youtu.be/Mf8PuOElGpg Fraudsters and money launderers are more adept than ever at escaping the detection of traditional fraud and AML solutions.
Blockchain, Bitcoin and The Art of Rolls Royce Repair
Two questions always come up when I tell people that I work on blockchain. The first question is “Where do I get started with blockchain
TigerGraph: The parallel graph database explained
Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both performance and analysis capabilities—when
Finding Needles in a Haystack with Graph Databases and Machine Learning
You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, “What
Crossing the Chasm – Eight Prerequisites For A Graph Query Language
Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today:
It Is Time for A Modern Graph Query Language
The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree.
Anti-Money Laundering (AML) Non-Compliance is Injurious to Your Business’ Health
On June 3 2018, the Commonwealth Bank of Australia was fined $700 million for AML non-compliance. Some of the problem areas at the bank included:
TigerGraph Corporate Overview
https://youtu.be/ygSRRygwOpk TigerGraph is the world’s fastest graph analytics platform designed to unleash the power of interconnected data for deeper insights and better outcomes.
Building a Movie Recommendation System Using TigerGraph
Recommendation systems are used in our daily life for a variety of reasons including products, movies, music, news, and books. These recommendations are based on
Building an Enterprise Knowledge Graph with Resource Description Framework (RDF) and Graph Database
Building an Enterprise Knowledge Graph with Resource Description Framework (RDF) and Graph Database
Graph Gurus, Episode 1: Building an Enterprise Knowledge Graph from RDF Data
Update: As of May 1, 2020 we have 34 Graph Gurus episodes! Find all of them at www.tigergraph.com/webinars. This month we kicked off Graph
Amazon Neptune, the Truth Revealed
In May this year, Amazon announced the General Availability of its cloud graph database service called Amazon Neptune. Here is a comprehensive blog that summarizes
Building the Next Generation Recommendation Engine with a Graph Database
Building the Next Generation Recommendation Engine with a Graph Database
Detecting Fraud and Money Laundering in Real-Time with Graph Analytics (Part 1)
Detecting Fraud and Money Laundering in Real-Time with Graph Analytics (Part 1)
Create Data Mapping
https://youtu.be/6P0eYoBfhu4 How to create data mapping in GraphStudio.
Search For Vertices
https://youtu.be/29PCZEhyx8M How to search for vertices in GraphStudio.
Switching Themes
https://youtu.be/Hj-pMRlf_lY Learn how to change themes in GraphStudio.
TigerGraph, A Year After Launch to The Public
What a difference a year makes. One year ago, we presented the public launch of TigerGraph 1.0, delivering the next stage in the evolution of
Detecting Fraud and Money Laundering in Real-Time with Graph Analytics (Part 2)
Detecting Fraud and Money Laundering in Real-Time with Graph Analytics (Part 2)
Half-Terabyte Benchmark Neo4j vs. TigerGraph
Neo4j’s loading time is shorter than TigerGraph; however, Neo4j requires extra preprocessing that extracts the vertex file from the edge file. After including the pre-processing time, Neo4j takes
TigerGraph Roars Past The Competition: Graph Database Benchmark Findings
With the graph database market on the rise, it is important to understand the differentiators between each vendor. TigerGraph is the first and only native
Finding Hubs of Influence – Implementing PageRank with a Native Parallel Graph
Finding Hubs of Influence – Implementing PageRank with a Native Parallel Graph
What’s New in TigerGraph: Powering the Fastest Performance For Graph Analytics
Graph databases and analytics have crossed the chasm – and the data supports it. Take, for example, how graph databases are the fastest growing category
Birds of a Feather – Community Detection with a Native Parallel Graph
Birds of a Feather – Community Detection with a Native Parallel Graph
Building a Graph Database on a Key-Value Store?
by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph
On “Benchmarking RedisGraph 1.0”
Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph’s, following the tests [2] in TigerGraph’s benchmark report [3], which requires solid
‘Tis the season for AWS re:Invent
It’s that time of the year when 40,000+ people cram into Las Vegas for Amazon AWS re:Invent , which kicks off November 26. If you think about
Introducing TigerGraph Cloud: The Fastest and Most Complete Graph Database-As-A-Service for Everyone
Today we are proud to introduce TigerGraph Cloud, the simplest, most robust and cost effective way to run scalable graph analytics in the cloud. As
Graph-Based Customer Entity Resolution
1. Problem Description Enterprises know the benefits of merging data from multiple sources, to build more detailed and more complete records about their customers, their
GSQL Now and In The Future
Since the introduction of the TigerGraph Developer Edition in June 2018, the GSQL language has generated a lot of interest and a lot of valuable
Optimizing Network and IT Resources with a Native Parallel Graph
Optimizing Network and IT Resources with a Native Parallel Graph
Leveraging Geospatial Data with a Native Parallel Graph Database
Paradigm Shift Enables TigerGraph to Uncover Hidden Insights from Geolocation Data Have you wondered how you can add and leverage geospatial data to your applications?
The Road to a Standardized Graph Query Language: GQL, Part 1
Last month I had an epiphany, 10,000 miles from home. It wasn’t until the second day in Brisbane that it struck me…I was sitting on
Analyzing Time Series Data with a Native Parallel Graph Database
Analyzing Time Series Data with a Native Parallel Graph Database
How Graph Databases are Transforming Energy Management Systems (EMS)
The economic impact of a power outage is massive. Energy consultant E Source claims that eight key U.S. market segments are losing about $27 billion
Introduction to TigerGraph, A Graph Database and Analytics Platform
https://youtu.be/ylqO-lOP9pE Watch TigerGraph’s product overview and demo. This webinar will explore and answer these three key questions: -What is a graph database and how is
Graph Pattern Matching in GSQL
In this short technical blog, I will show you how to use GSQL to search a graph for all the occurrences of a small graph
The Road to a Standardized Graph Query Language: GQL, Part 2
Last month I wrote about the ISO meeting in Brisbane, working towards a standard query language for property graphs. I recently returned from Berlin, where the World
Using Accumulators in GSQL for Complex Graph Analytics
Using Accumulators in GSQL for Complex Graph Analytics
Hansel and Gretel & Big Data Analytics with Graphs
My daughter, a high schooler heard me chatting with a client last week and asked me, “Why do you keep going on and on about
Machine Learning and Deep Link Graph Analytics: A Powerful Combination
Originally Posted on KDNuggets. Machine learning (ML) – an aspect of artificial intelligence (AI) that allows software to accurately identify patterns and predict outcomes –
The $458 Billion Per Year Tax Evasion Problem – Can Graph Database and Analytics Help?
As the deadline to file the taxes, April 15th looms large in the United States, I have been thinking about paying our fair share of
Cognitive Computing, Associative Memory and Graph
How to Build an Associative Memory Capability in 1 Hour Recently I came across a wonderful presentation about Cognitive Computing and Associative Memory. Intel Saffron
Enhanced Pattern Matching Query Syntax
In our upcoming 2.4 release, TigerGraph will offer a major syntax extension in GSQL – pattern matching. Pattern matching enables users to focus on specifying
Cycle Detection in TigerGraph
A cycle is a path of edges and vertices that connect together to form a loop. In a directed graph, all the edges must point
Visualizing Bitcoin Blockchain with TigerGraph
Visualizing Bitcoin Blockchain with TigerGraph
Sink Your Teeth Into FIBO with A Native Parallel Graph Database
Authored by TigerGraph Solutions and Engineering Financial institutions have massive volumes of highly interconnected and structured data, which they need to ingest in real time
How to Transform Healthcare with Real-Time Deep Link Analytics? Graph Databases
Originally featured on FierceHealthcare. Americans spent $3.65 trillion on healthcare in 2018, federal actuaries estimate. That’s an increase of 4.4% over 2017, and it is projected to rise
Why Experts See Graph Databases Headed for Mainstream Use
Written by Chris Preimesberger, originally featured in eWeek July 5, 2019 Graph databases are now clearly riding the upward trend toward mainstream adoption for which
GSQL For Cypher Users
Originally featured on DZone This article is intended for Neo4j Cypher users who want to learn and understand TigerGraph’s GSQL query language. This is by
The Beauty of Graph Algorithms with Built-in Parallelism
Many people already know that graph algorithms are the most efficient and sometimes the only solution for complex business use cases, such as clustering different
Accumulator 101
Originally featured on DZone Motivation GSQL is a Turing complete Graph Database query language. Compared to other graph query languages, the biggest advantage is its support
Hyper-Personalized Recommendation Engine Powered by a Native Parallel Graph
Hyper-Personalized Recommendation Engine Powered by a Native Parallel Graph
The Power of Graph Technology for Marketing Medicine
Originally featured on The New Stack An oft-quoted study by the Tufts Center for the Study of Drug Development estimates the cost of developing a
Seven Key Data Science Capabilities Powered by a Native Parallel Graph
Seven Key Data Science Capabilities Powered by a Native Parallel Graph
TigerGraph Fundamentals – Module 1: Introduction to Graph Database and Analytics
https://youtu.be/g_yhkMA3xoE The first of four modules for TigerGraph Fundamental Certification.
It’s Not Just Hype – Graph is Transforming Businesses
First, the good news. In a recent report, Top 10 Data and Analytics Technology Trends That Will Change Your Business, Gartner Research identified graph database
Entity Resolution with a Native Parallel Graph DatabaseEntity Resolution,
Entity Resolution with a Native Parallel Graph Database
Just a Key-Value Problem? How Graph Reduces Memory Consumption, Accelerates Performance and Overcomes Problems with Key-Value Databases
Key-value databases have long been used for a variety of applications to provide pre-computed results in real-time. There is, however, an increasing shift towards using
New Query Language for Graph Databases to Become International Standard: GQL
We’re thrilled to see this big step forward for the Graph Query Language (GQL) team, as the key international standards body (ISO/IEC JTC 1) has
‘+=’ As The Key That Unlocks The Power of the Network
My job as a TigerGraph SE is to help a prospective customer solve their problems using our product. We are unusually successful, even though we
Healthcare FAERS StarterKit
https://youtu.be/irlbcCkMGgs TigerGraph Cloud Healthcare FDA Adverse Event Reporting System (FAERS) StarterKit.
The Good News Keeps On Coming – Introducing TigerGraph Cloud & Announcing TigerGraph Series B
We’re delighted to share news about two very exciting developments. The first is the launch of our graph database-as-a-service with a free tier for no-risk
It’s Official: We’re On the Road to a Standardized Graph Query Language
Last week I attended my third face-to-face meeting for WG3, a subgroup of ISO/IEC Joint Technical Committee 1 (JTC1), and the group that has developed,
Deep Learning Implemented by GSQL on a Native Parallel Graph Database
Deep Learning Implemented by GSQL on a Native Parallel Graph Database
Detect Waste, Abuse and Fraud with Graph Database & Analytics
Unfortunately waste, abuse and outright fraud are rampant in the healthcare industry. Healthcare-related fraud is estimated at around 3-10% of the total cost and is
Real-Time Customer 360 for Attribution and Engagement with TigerGraph Cloud
Real-Time Customer 360 for Attribution and Engagement with TigerGraph Cloud
Evaluating Graph Solutions for Apache Spark
Apache Spark is a popular general-purpose cluster-computing framework. An important addition to that framework is graph technology, which is rapidly growing in popularity as it
Improve Supply Chain Performance | TigerGraph & Expero
Improve Supply Chain Performance | TigerGraph & Expero
TigerGraph Proves to be a Special Resource for High School Students in Hackathon
The Randomness of Opportunities Hackathons can be stressful experiences, as a group of students from Eden Prairie, Minnesota recently found out. The students, belonging to
Integrating Real-Time Deep-Link Graph Analytics with Spark AI
Integrating Real-Time Deep-Link Graph Analytics with Spark AI
What Are the Major Advantages of Using a Graph Database?
A graph database is a data management system software. The building blocks are vertices and edges. To put it in a more familiar context, a
Guard Against Cyber Security Threats with a Native Parallel Graph Database
Guard Against Cyber Security Threats with a Native Parallel Graph Database
Best Practices To Model Your Data Using A Graph Database
Best Practices To Model Your Data Using A Graph Database
How to Build Innovative Applications with a Native Graph Database
How to Build Innovative Applications with a Native Graph Database
Lowering the Cost of Healthcare with Advanced Analytics
“Will our grandchildren have to choose between paying for gas and groceries and paying for healthcare?” This is a question being asked by key leaders
Unleash The Business Value Of Your Data Lake With Graph Analytics
Unleash The Business Value Of Your Data Lake With Graph Analytics
Connecting the Dots in Real-Time – Deep Link Analysis with a Native Parallel Graph
Connecting the Dots in Real-Time – Deep Link Analysis with a Native Parallel Graph
Location, Location, Location – Geospatial Analysis with a Native Parallel Graph
Location, Location, Location – Geospatial Analysis with a Native Parallel Graph
Getting Connected at AWS re:Invent
TigerGraph’s product management team and I attended AWS re:Invent, where 60,000 persons from around the globe had gathered to see what is new and exciting
Enterprise Security System In Real-Time Using TigerGraph And Kafka Streams | TigerGraph & Expero
Enterprise Security System In Real-Time Using TigerGraph And Kafka Streams | TigerGraph & Expero
Machine Learning Applied to Detecting Fraud in Healthcare
Fraud is a major contributing factor to escalating healthcare costs: fraud costs the U.S. about $60 billion annually and accounts for up to 10 percent
Using Graph Algorithms For Advanced Analytics – Part 1 Shortest Paths
Using Graph Algorithms For Advanced Analytics – Part 1 Shortest Paths
Getting Started with TigerGraph Distributed Cloud (2020)
https://youtu.be/JARd9ULRP_I For the most recent getting started with TigerGraph Cloud video, watch here: https://youtu.be/mOsfjst6Ahs Get started at www.tigergraph.com/cloud
Getting Started with Giraffle on TigerGraph Cloud
Pre-Requirements Have git && gradle installed on your computer Your TigerGraphs Cloud Instance Details Introduction to Giraffle Giraffle can be used to help you automate the deployment of schema,
EMEA EVENTS
Detecting Fraud & Anti-Money Laundering (AML) Violations In Real-Time
https://youtu.be/Mf8PuOElGpg Fraudsters and money launderers are more adept than ever at escaping the detection of traditional fraud and AML solutions.
TigerGraph Corporate Overview
https://youtu.be/ygSRRygwOpk TigerGraph is the world’s fastest graph analytics platform designed to unleash the power of interconnected data for deeper insights and better outcomes.
Create Data Mapping
https://youtu.be/6P0eYoBfhu4 How to create data mapping in GraphStudio.
Search For Vertices
https://youtu.be/29PCZEhyx8M How to search for vertices in GraphStudio.
Switching Themes
https://youtu.be/Hj-pMRlf_lY Learn how to change themes in GraphStudio.
Introduction to TigerGraph, A Graph Database and Analytics Platform
https://youtu.be/ylqO-lOP9pE Watch TigerGraph’s product overview and demo. This webinar will explore and answer these three key questions: -What is a graph database and how is
TigerGraph Fundamentals – Module 1: Introduction to Graph Database and Analytics
https://youtu.be/g_yhkMA3xoE The first of four modules for TigerGraph Fundamental Certification.
Healthcare FAERS StarterKit
https://youtu.be/irlbcCkMGgs TigerGraph Cloud Healthcare FDA Adverse Event Reporting System (FAERS) StarterKit.
Getting Started with TigerGraph Distributed Cloud (2020)
https://youtu.be/JARd9ULRP_I For the most recent getting started with TigerGraph Cloud video, watch here: https://youtu.be/mOsfjst6Ahs Get started at www.tigergraph.com/cloud
No Code Graph Analytics with Visual Query Builder Summary
https://youtu.be/DzIodLU9H_c No Code Graph Analytics with Visual Query Builder allows non-technical users to produce and run graph queries simply by drawing the patterns they want,
TigerGraph for Customer 360
https://youtu.be/w-SLSnFowQ8 Businesses are facing a relentless increase in the volume, variety, and velocity of data coming at them from many different channels. Hidden within these
Introduction to tgcloud.io
https://www.youtube.com/watch?v=cNAWrAsjrC8 TigerGraph Web-App Hack – Introduction to tgcloud.io Learn more here: https://tigergraph-web-app-hack.devpost.com/
Intro to Streamlit and TigerGraph
https://youtu.be/e2Cy6sRQJnY TigerGraph Web-App Hack – Intro to Streamlit and TigerGraph Learn more here: https://tigergraph-web-app-hack.devpost.com/
What is TigerGraph?
TigerGraph is a platform for advanced analytics and machine learning on connected data. Based on the industry’s first and only distributed native graph database, TigerGraph’s
Introduction to pyTigerGraph
https://youtu.be/2BcC3C-qfX4 by Dan Barkus, Developer Advocate at TigerGraph Notebook on Github Google Colab Notebook to follow along pyTigerGraph documentation Need help? Post a detailed question
TigerGraph – The Age of Graph
https://youtu.be/9SdSPr_731Y You use graphs every day – learn how Graph + AI transforms the world.
TigerGraph 101 Part 1 – An Intro to Graph
Now is the best time to learn the fundamentals of graph and take advantage of the next frontier for data science and analytics. Watch part
TigerGraph 101 Part 2 – Data Prep and Converting a Relational Dataset to Graph
Now is the best time to learn the fundamentals of graph and take advantage of the next frontier for data science and analytics. Watch part
TigerGraph 101 Part 3 – Schema Modeling and Data Loading
https://youtu.be/sJ5o_b_9G0s Now is the best time to learn the fundamentals of graph and take advantage of the next frontier for data science and analytics. Watch
TigerGraph 101 Part 4 – Querying and Beyond
https://youtu.be/dP7ammiYqQ0 Now is the best time to learn the fundamentals of graph and take advantage of the next frontier for data science and analytics. Watch
Loading Data into TigerGraph
https://youtu.be/Zbx9ndMNy1A Follow along with the videos using the linked codebase: https://github.com/DanBarkus/Patent_Graph
Applied Singularity – TigerGraph for IoT
IoT devices produce a lot of data. While that information is often useful on its own, the real value comes from the combination of multiple
Thriving in an Uncertain World with a Resilience Focused Operational Digital Twin
For many years globalization, automation, and lean principles were the basis of a successful business, be it manufacturing, finance, or retail. These strategies relied on
Conquering LDBC SNB BI at SF-10k
Dr. Mingxi Wu, VP, Engineering at TigerGraph, presented the results of TigerGraph running on Google Cloud against the LDBC SNB BI workflow at scale of
TigerGraph Architecture Overview: Why It’s 100x Faster Than Competition
https://youtu.be/3JDqwRGb1K8 By watching this webinar webinar you will:⇨ Understand how performance scales with data size and with machine cluster size. ⇨ Learn how GSQL accumulators
US EVENTS
Data + AI Summit 2023 SAN FRANCISCO, JUNE 26-29
Join us on June 26th-29th along with thousands of data engineers, scientists, analysts, and leaders to explore all things data, analytics, and AI.
EUROPEAN EVENTS
NICE Actimize Engage, London
Join us on May 16th for Nice Actimize Engage, with tracks dedicated to Anti-Money Laundering, Enterprise Fraud Management, and Markets & Conduct Surveillance, hear from
