Listen "Shift Difficult Problems Left with Graph Analysis on Streaming Data"
Episode Synopsis
Register for this episode of InsideAnalysis to learn how a unique technology, streaming graph, can solve some of the most significant challenges in real-time data analysis. Host @eric_kavanagh will interview former Gartner Analyst Sanjeev Mohan, ExxonMobil Senior Technical Engineer H. Alexander Huskey, and Paige Roberts, Director of Product Innovation at thatDot, who will explain the value of shifting tough analysis to earlier in the process. She'll discuss how a graph analysis of flowing data can benefit your business. Key business applications include: • Real-time Risk analysis and Fraud Detection: Uncover intricate fraudulent activity patterns across transactions, user behaviors, and device data that traditional rules-based systems would miss. • Cybersecurity and APT Detection: Identify anomalous patterns in network traffic, user logins and device logs to proactively prevent security breaches with no time window limitations. • IoT Edge Smart Filtering: Monitor sensor data streams from industrial and other devices, understand which data is useful so you don't flood downstream systems, and act immediately when problems arise.
More episodes of the podcast InsideAnalysis
AI on the Aircraft Maintenance Front Line
12/01/2026
Context Is King: A Roadmap for AI Success
22/12/2025
Speed and Scale: Exasol & Arcitecta Insights
01/12/2025
Maximizing the Return on Customer Data
24/11/2025
AI Defense Breakthroughs in Wartime
19/11/2025
Inside the Quantum Revolution
13/11/2025
Meeting of the Minds: Getting AI-Ready
07/11/2025
Building the Backbone of AI
23/10/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.