2022 Graph + AI Virtual Summit - Call for Speakers
Are you passionate about building solutions to help your organization adapt to an uncertain world using connected information and cutting-edge technology? Maybe you’re an expert in supercharging machine learning and artificial intelligence using graph algorithms or a business leader who knows the value of overcoming the data silos created by legacy enterprise solutions.
Sound like you? We want you to be a speaker at this year’s virtual Graph + AI Summit!
The call for speakers is extended through midnight PDT on April 25, 2022
The interfaces within supply chains are a textbook example of a graph use case. Many moving parts are all interfacing with each other, and it is important to understand the impact that changes to any individual aspect can have on the supply chain as a whole. Graph allows us to better understand those connections and use them to manage a supply chain more efficiently.
In this webinar we will cover:
- An overview of graph databases and the differences from relational databases
- Getting started with your first TigerGraph solution
- Build your supply chain graph - design your schema, map and load your data, write basic queries
The Graph For All Million Dollar Challenge project submission deadline is around the corner. Watch this open forum to get your questions answered on the submission process.
What we will cover:
- Submission requirements
- Frequently asked questions
- Open forum to ask your questions
Next-Generation Graph Databases w/ Jay Yu (Tigergraph)
Watch on LinkedIn
Jay (JieBing) Yu, Ph.D. (VP Product & Innovation at TigerGraph) joins the show to chat about the next generation of graph databases. With graph databases exploding in popularity and useful applications, this is definitely a discussion to check out if you’re curious about using them in your organization.
[Wednesday, April 20th] Apex NY Private Dinner Cloud Transformation Roadshow
Apex Private Roadshow Dinner Series are customized turnkey engagements that are tailored to meet your unique business needs.
[Saturday, April 30th] Learn How To Use TigerGraph For IOT And Supply Chain Purposes: Part 2
Missed Part 1? No need to worry! You can view it HERE.
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 IoT data sources to better understand a system as a whole. Graph specializes in combining multiple data sources to gain deeper knowledge than could be gleaned from any single source.
- An overview of Graph Databases and the differences from Relational Databases
- Getting started with setting up a TigerGraph Solution
- Design your IoT TigerGraph Solution:
- Setting up your schema
- Map and Load your data
- Running basic queries to show how IoT and graph work together
[Wednesday, May 18th - Thursday, May 19th] Google Cloud Ground School
Dive deep into Google Cloud with 2 days of immersive content, speakers, and Google Cloud superstars.
Bring your coffee and talk directly with our engineers every Tuesday on Discord. During Graphé hours, we talk about all things graph, answer questions about graph modeling, GSQL programming, and more!
Reddit IRL - Relatable Humour Dataset
Data from the humour subreddits /r/meirl and /r/me_irl, up to Apr 1, 2022.
Online Payments Fraud Detection Dataset
Online payment fraud big dataset for testing and practice purpose.
Fake News Classification
Fake News Classification on WELFake Dataset
Million Dollar Challenge
We’ve got a million-dollar question: what can you do with graph? Share your graph solution for a global issue with TigerGraph, for a chance to win one of 15 cash prizes totaling $1M!
Mark your calendars: The deadline to submit and make final project adjustments is April 20 at 11:45 pm Eastern.
To register and learn more, visit
Graph for All Million Dollar Challenge - TigerGraph
Join the DevPost!