A horse racing regulator sought to create a faster, more effective workflow that its small team of investigators could use to tackle fraud, expose criminal networks, and strengthen data integrity. The most pressing focus was to examine instances of potential collusion, while maintaining high confidence in the accuracy of their findings.
Real-time big data threat detection in online gaming
An online gaming platform must identify collusion between users from a 40-million-events-per-day data stream. This data gets stored in an SQL data lake and is monitored through standard metrics with BI tools, such as Tableau and MicroStrategy, for analytics.
Using network visualization to deplatform an extremist group from social media
A multinational law enforcement agency found whack-a-mole ineffective against extremist recruiters on social media. Delete one account and they’d simply create another. To disrupt the recruitment operation, the LEA needed to deplatform the entire network of extremist-affiliated accounts simultaneously.
Visualizing geospatial and time series data for law enforcement
The Dutch police used GraphXR to transform OSINT data into dynamic geospatial maps and provide rapid visualization and graph analysis, revealing unexpected patterns in illegal drug production.
The Gig Economy Group and Kineviz partnered to empower remote sellers with innovative tools in the COVID-19 era, leveraging GraphXR for real-time insights into sales interactions and enhancing remote work performance with AI-driven strategies.
Mobile App Leverages Connected Data through Geospatial Intelligence
Black and Veatch (BV) partners with Kineviz to provide real-time mapping technology that keeps projects moving while supporting worker safety during COVID-19 outbreaks.
Expanding Fundamental Knowledge of TB with a Gene Regulatory Network Analysis Tool (TBRNAT)
The OCICB team at NIAID leverages interactive data visualization to explore M. tuberculosis transcription factors and their regulatory networks, offering insights into TB's virulence and potential therapeutic targets.
Human-led Machine Learning & Advanced Threats: Case Method Inquiry & Visual Analytics Applied to COVID-19
This graph-enabled strategy advocates treating COVID-19 as a complex, mutable actor, emphasizing global vaccine research collaboration, strategic communications, and human-led oversight in machine learning to holistically address the pandemic's challenges.
