Graph + AI World:                   

Care Intervention Assistant - A Real Time Approach to Omaha Clinical Data Classification Using Chatbot Interactions

Graph + AI World Session - Recorded September 2020
We investigate real-time clinical health assessments through the implementation of chat-based cognitive agents. Leveraging scalable graph platforms, natural language processing, and deep learning, we combine live conversational data with member healthcare data to expose risk evaluations to the online clinical specialist. Risk evaluations are able to be provided across a broad and configurable problem space, while also tailoring next-best-action recommendations to the member's healthcare needs.

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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.”

Xandr

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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