Graph + AI World:                   

Introduction to the TigerGraph Developer Portal with Machine Learning

Graph + AI World Session - Recorded September 2020
TigerGraph’s ecosystem is growing continuously with developers around the world working on innovative solutions that leverage the power of graphs. As the activity is picking up, it becomes apparent their needs to be a central place for developers to go that they can learn from other developers. TigerGraph is proud to be announcing TigerGraph’s NEW developer portal and place to learn, collaborate, share those innovative solutions you’re exploring or constructing. The portal includes a dedicated Machine Learning section to learn about all things ML and Graph Database. Come to this session if you want to learn more about the community, awesome projects and patterns, and how you can get more involved!

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“TigerGraph is highly configurable ands can fit your specific use case. Whether you’re trying to get super fast query times or run heavy graph processing algorithms, setting the right configuration on your cluster will make all the difference.”


About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. 


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