Graph + AI World:                                    "Accelerating Innovation at the Confluence of Human-Curated Content and Artificial Intelligence"

Graph + AI World Session - Recorded September 2020
The volume of published, scientific data is growing at an exponential rate. When carefully curated and paired with emerging technologies such as knowledge graphs, the data is a powerful catalyst to accelerate innovation across a wide range of disciplines. This talk explores the abiding value of intellectual curation to maximize the quality and utility of scientific data collections and highlights how CAS is leveraging knowledge graphs to enhance innovation.

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“Not only is the volume of data expanding dramatically, but so is the complexity and the connectedness of that information. For a scientist or researcher trying to find those connections, it’s like trying to find a needle in a haystack and the haystack keeps getting bigger”

Mark Grabau

Chief Analytics Officer, CAS

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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