Kineviz

Ever wonder which day of the week has the most car crashes? Or what time you should avoid driving? Thursday at 5 PM. That's when NYC roads are most dangerous. We usually look at traffic data in silos. Maps show WHERE crashes happen. Charts show WHEN. But never together. So we connected a 24-hour clock (showing crash patterns across the week) with a geographic map. They filter each other instantly. Click a time, see the locations. Select a spot, see the hours. The WeekDial isn't just for traffic. Think disease outbreaks, crime patterns, emergency response... any problem with a when and a where becomes clearer when you stop looking at them separately. Full breakdown: https://lnkd.in/gjdq4Pu2 Want to talk about data visualization? Join our Discord: https://lnkd.in/dXwzg9yY

The Finance Graph provided with Google #Spanner is a perfect sample dataset for trying out #GraphXR. https://lnkd.in/g3DpHEn4

See how Google #SpannerGraph and Kineviz #GraphXR expose possible links to fraud faster than ever. Bringing operational data to life by turning rows into meaningful relationships unlocks a new frontier in real-time fraud detection — no heavy ETL pipelines, just clarity and context.

Nobody has time to read 500,000 emails. So we turn them into knowledge maps. LLMs are fast, but they can hallucinate. That's why we keep things explainable: every node links back to its source document. This way you can validate what the AI extracted. Speed + transparency. That's how it should work. The problem: Emails hold critical business information — decisions, relationships, timelines. But at scale? No human can read them all, extract what matters, and connect the dots. What we did: We took the Enron corpus — 500k real corporate emails from 158 employees — and built an interactive knowledge map. Overnight. The result: An explorable map where you can zoom out to see the big picture — who talked to whom, when, about what — or zoom in to read a single email. No more buried insights. Full breakdown here: https://lnkd.in/ecU2uzEd 🤓 Into graphs, data viz, and AI? https://lnkd.in/dXwzg9yY

The most valuable insights in connected data aren't in the individual points—they're in the relationships between them. And those relationships are invisible in traditional spreadsheet formats.

Ever have that moment where you KNOW the answer is staring you in the face, but you just can't see it? UNESCO had thousands of cultural practices in a database—traditional crafts, rituals, oral histories from every corner of the globe. The connections were right there in the data. But in spreadsheet form? Completely invisible. Then they visualized it as a network: https://lnkd.in/gmPhYZdn Instant clarity. Your brain finally sees what was always there. That's the magic of graph visualization—it transforms data your brain struggles with into patterns you understand immediately. Want to geek out about graphs with us? Join our Discord: https://lnkd.in/dXwzg9yY 😁 #DataVisualization #GraphVisualization #ConnectedData

A holiday present for Google #SpannerGraph users: This video takes you through connecting #GraphXR to Spanner in just a few minutes! https://lnkd.in/gdr3w_Ns

Fantastic demo and a great intro to both PuppyGraph and Kineviz #GraphXR. MAKE SURE to check the comments for the link!

This is the new best way to look at your #jira tickets. https://lnkd.in/gUJJV_Dz