Hello @TigerGraph_Community!
Here’s your weekly round-up of blogs, podcasts, trending datasets, and more!
Four Lessons For New And Would-Be Founders I Learned When I Made A Career Pivot
Dr. Yu Xu, founder and CEO of TigerGraph, shares four lessons he learned along the way that can help guide would-be founders.
Check out the article HERE!
Podcast - Connecting the Dots Faster Than Ever with Dr. Victor Lee at TigerGraph
Dr. Victor Lee, Vice President of Machine Learning and AI at TigerGraph, joins Hashmap to discuss how graph data represents objects and relationships as another type of object.
Listen HERE!
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:
Upcoming Webinar
Don’t forget to register for our upcoming webinar - Unlock Smarter Insights At Scale With Machine Learning On Connected Data!
Attend to learn:
- How ML Workbench is addressing the challenges inherent in building graph neural networks and enabling innovative companies to unlock smatter insights
- New functionality in the most recent release and a demo of the latest capabilities
If you can’t attend live, please register for the recording.
Events
[Tuesday, August 16th - Thursday, August 18th] AI4 2022 Flagship
In Person: Las Vegas
Ai4 2022 brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology.
[Monday, August 22nd - Wednesday, August 24th] Gartner Data and Analytics Summit 2022
In Person: Orlando, Florida
Gartner Data & Analytics Summit addresses the most significant challenges that data analytics leaders face as they build the innovative and adaptable organizations of the future.
Kaggle Trending Datasets
Classic Cars
400 Cars consisting of 8 major characteristics like horsepower, acceleration, etc
Airbnb Open Data
New York Airbnb Open Data
Student’s Scores
This dataset gives scores of students for Python, SQL, ML etc. subjects.