This lightning talk will highlight two approaches to real-time entity resolution on streaming data using the Quine streaming graph.
The Power of Real-Time Entity Resolution with Ryan Wright
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Categorical Data
Streaming Graph Processing on Categorical Data Enables Real-time Risk Calculation
The failure of Silicon Valley Bank in 2023 exemplifies the severe consequences of not accurately assessing risk in a timely manner. Although nearly every financial institution prioritizes risk minimization, their methods for calculating risk often rely on detailed analysis of categorical data and relationships. Most existing algorithms, however, only handle static, numeric data. This requires transforming the data, typically through methods like one-hot encoding, into numerical formats that...
What is Categorical Data?
On datanami, thatDot founder and CEO Ryan Wright helps define the nature of categorical data. This essential data type makes up about three quarters of all data an enterprise needs to analyze, yet is often not analyzed. "Why would enterprises ignore an entire class of data? Especially when it is essential to high-priority use cases like personalization, customer 360, fraud detection and prevention, network performance monitoring, and supply chain management?" To learn more read "What is...
Graph Neural Networks for Quine
Quine 1.5 includes support for graph neural network techniques like Node2Vec and GraphSAGE. This post provides an overview and tutorial.
Categorical Data: An Untapped Source of Real-Time Insights
Categorical data is an oft-ignored source of valuable business intelligence. Quine makes it easy to process categorical data with your existing ETL pipeline.
What’s the difference between Categorical and Numerical Data?
Categorical data is enormously useful but often discarded because, unlike numerical data, there were few tools available to work with it until graph DBs and streaming graph came along.
Network Log Analysis Using Categorical Anomaly Detection
The distributed nature of modern virtualized software architectures has created added complexity in the networking stack, making it difficult to attribute behavior to any single service.
Data Exfiltration Detection in AWS CloudTrail Logs Using Categorical Data
This blog on AWS data exfiltration detection explains the use of categorical data in anomaly detection to identify multi-stage exploit campaigns in AWS CloudTrail logs.
What Is Categorical Data? Comparing it to Numerical Data for Analytics
Data comes in two flavors: Numeric and Categorical. Numeric data is easy, it’s numbers. Categorical data is everything else.
The World’s First Real-time Novelty Detector For Categorical Data
thatDot is excited to share the general availability of the world’s first system for real-time categorical anomaly detection.