Building a Next Level Intelligent RASA Chatbot with TigerGraph
Did you know how easy it is to create a conversational assistant? With machine learning/Artificial intelligence. Building a powerful chatbot Assistant has always been a
Building a Better Chain
Originally Featured on Manufacturing Management Complex supply chains are a feature of many companies and involve multiple manufacturing sites, hundreds of suppliers, thousands of products
Amazon and payment apps may hurt banks more than retailers
Originally posted on Payments Source. Sweeping changes to the financial services industry are underway and will accelerate dramatically in the coming years. In fact, the
Working with TigerGraph REST API and CORS (Cross Origin Resource Sharing)
Every web browser follows the “Same-Origin Policy” to maintain system security, and reduce the possibilities of attack by malicious web scripts. Under the same-origin policy,
Coronavirus: A Serious Need for Analyzing Connections
Graph Analytics may be invaluable to help prevent epidemics. On February 24, James Hamblin published an article in The Atlantic with the attention-grabbing headline, “You’re
Neo4j 4.0 Fabric – A Look Behind the Curtain
This week, Neo4j announced version 4.0, featuring their Fabric database, advertised as offering “unlimited scalability.” They go on to describe it as “Sharding and federation:
How the World’s Largest Banks Use Advanced Graph Analytics to Fight Fraud
Originally featured on RTInsights.com Advanced graph analytics provides deeper insights, complementing BI, and helps organizations preempt and prevent potential fraud while protecting customers. Financial services
Taking Your First Steps in Learning TigerGraph Cloud
If you’re reading this and thinking what is Graph? A few resources to enlighten you on your journey to learning graph: – What is a
Five Data Analytics Predictions for 2020
The phrase “2020 vision” implies that someone is able to see clearly. In this article I’m going to examine five technologies that have the potential
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,
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
Uncovering Data Connections for Competitive Advantage in 2020
During a recent presentation, Rita Sallam, Distinguished Vice President Analyst at Gartner Research, presented the Top 10 Trends in Data and Analytics Technology for 2020.
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
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
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
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?
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
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
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: