May 2nd - 6th Weekly Updates: Graph + AI Virtual Summit, TigerGraph Connections Podcast, and More!

Hello @TigerGraph_Community!

Here’s your weekly round-up of blogs, podcasts, events, and more!

:mega: 2022 Graph + AI Virtual Summit

The Graph + AI Summit is focused on accelerating analytics, AI, and machine learning with graph algorithms and will return as a global virtual event on May 24-25, 2022.

Attend the summit to…

  • Learn how to accelerate analytics, AI & ML
  • Understand how to use graph algorithms with analytics, AI & ML
  • Attend hands-on workshops with other practitioners

If you are a data scientist, engineer, or architect:

  • Learn to integrate graph into your analytics & AI projects
  • Get certified on graph algorithms for ML
  • See real-world examples that use graph with AI & ML

Free Registration

:writing_hand: Latest Blogs

Graph for All Million Dollar Challenge aims at uncovering potential solutions to global issues: Dr Yu Xu, CEO, TigerGraph

Making Connections on Our New Podcast

Swarm Learning and Graph Analytics Create Another Quantum Leap in Fraud Detection

Podcast: Graph for All Million Dollar Challenge – With Navira Abbasi

Podcast: Graph + AI Summit Spring 2022 – With COO Todd Blaschka

Podcast: Elements Workshops and Customer Success – With Tish Looper

:video_camera: Latest Videos

How to use TigerGraph for IoT + Fundamentals of TigerGraph: Part 2

View Part 1
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.

In this webinar we will cover:

  • An overview of Graph Databases and the differences from relational databases
  • Getting started with setting up a TigerGraph solution
  • Design your IoT TigerGraph solution - design your schema, map and load your data, write basic queries

:mega: Events

[Thursday, May 5th] Using Graph-Based Features To Get A Quantum Leap In Fraud Detection Rates
This talk will explore how graph databases can help improve your AI-based detection systems and give you tools for intelligent investigation, transforming your ability to respond to fraud and sending a strong message to organized criminals to leave your bank alone.

[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.

[Wednesday, May 25th] Finding Better Answers and Making Discoveries using Graph Analytics and TigerGraph
In the talk, we will introduce graph analytics – what is graph-structured data and how it helps to reveal new insights and to boost the quality of applications from fraud detection and recommendation to supply chain/routing optimization and therapeutic drug design. We’ll then look at the computational workload for different types of graph analytics and see where hardware choices can make a significant difference in the performance, impact, and value of graph analytics.

:coffee: TigerGraph Graphé

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!

Upcoming sessions:

  • Tuesday, May 3rd @ 7 am PST - Discord
  • Tuesday, May 10th @ 7 am PST - Discord

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1 Like

This is helpful, thanks for sharing.

1 Like