Graph + AI World:                   

Building an Accurate Understanding of Consumers Based on Real-World Signals

Graph + AI World Session - Recorded September 2020
This session will cover outline the challenge for the retail and hospitality industry of getting a better understanding of consumers, based on real world signals, and running effective targeted campaigns. We describe how we solve for this via:
  • (a) Interconnected ML/AI model pipelines that are accurate and privacy-safe:
  • (b) Classifying Staypoints and Waypoints from Bid Stream data; Assign Location Pings-to-POI (Mapping People and Places); (
  • c) Building Consumer Segments (Gender, Age Group and Profiles) - Nielsen MDAR targeting + New profiles based on Risk appetite to venture out;
  • (d) During COVID-19, we are able to better analyse and provide consumer segments to clients; Footfalls and time series anaysis.

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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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