Ever wonder how you can make your graphs easier to understand, especially for someone unfamiliar with your data?. Engage with this interactive tutorial to see how #GraphXR's styling capabilities can help bring visual clarity to complex data today. 👇.

A single promo code can travel fast—racing through look‑alike accounts and recycled devices, often causing a spike in cash‑outs by day's end. With #GraphXR, we visualize these patterns, turning a silent leak into a thread you can cut before losses mount. #PromoAbuse

Money-mule scams drain ~$3B/yr in the US alone. See how @GoogleCloud's #Spanner Graph + Kineviz #GraphXR turns raw transactions into a live network—zero ETL—to stop fraud fast. Read more today✍️ #FraudDetection #FinCrime #GraphAnalytics @gcloudpartners

When your team receives a suspicious activity report, how long does it take to unmask the actors behind it?. In this 5-min #GraphXR demo, we demonstrate how a single suspicious transaction can be the thread that unravels an entire laundering network. 🎥

Explore how a unified graph experience + intuitive visual analytics reshapes anti-fraud workloads on Google Cloud. Featured as a visualization partner at #GoogleCloudNext , our #GraphXR platform turns Google Cloud’s unified graph stack—#BigQuery + #SpannerGraph—into an.

“Knowing what question to ask is often 80 - 90% of the work.”. In graph analytics, the exploratory phase is where the real work happens. This line from @mlopscommunity latest podcast with Weidong Yang and Paco Nathan echoes long. Graphs invite us to relax constraints up front,

At the recent @mlopscommunity “AI in Production” event, we explored how to tackle the nearly 80% of enterprise data that’s unstructured. @wdyang introduced our #GraphBI approach which integrates #GenAI and visual analytics to map relationships between and across documents. Learn.

We're making it simpler and more transparent to transform unstructured data into knowledge graphs. Thanks to our partnership with @kuzudb, we’ve integrated Kuzu-WASM—an open-source, embedded graph database in the browser—directly with SightXR’s visual analytics. This is a blend

RT @kuzudb: We already have some members of our awesome community adopting Kuzu-Wasm to build some really cool applications using a graph d….

Ready to see how Kineviz GraphXR and Google Cloud Spanner Graph work together? . Here’s what you get:. • Seamless Integration: Spanner Graph and GraphXR connect easily for quick deployment. • Scalable Performance: Leverage Spanner Graph’s distributed architecture for top-speed

RT @TheYotg: 5) Graph visualization partner integrations: GraphXR, Kineviz’s flagship product, Graphistry’s GPU-accelerated visual graph in….

How can you gain a clear, shared view of what's happening across your supply chain? . We show you how to map a sample supply chain dataset with @puppyquery and use #GraphXR to visualize the intermediary connections—such as customers, locations, and product orders—between two

Exploring supply chain data just got easier. PuppyGraph’s high-performance query engine transforms relational data into a graph in under 10 minutes—no need for a graph database. When combined with #GraphXR’s advanced visualization and analytics, this powerful collaboration.

Exciting news: @googlecloud's Spanner Graph is now available, and we’re thrilled to be an official visualization partner! Our #GraphXR platform now integrates with Spanner Graph’s globally scalable database, giving organizations the power to explore big data and make more

Big data just got easier to explore. Our collaboration with @googlecloud means GraphXR is integrating with Spanner Graph, combining real-time visualization with scalable graph database performance. Learn how enterprises can now uncover patterns in fraud detection, network.

Harnessing Big Data for Real-Time Threat Detection. When an online gaming platform needed to analyze a massive 40 million events per day, standard BI tools were overwhelmed—missing subtle signs of collusion and fraud. By integrating a real-time detection system with advanced big

Discover how #SightXR navigates the lengthy Bipartisan House Task Force Report on AI through interactive data visualization—spotlighting the energy sector’s regulatory implications while automatically generating summaries, answers, and citations. By leveraging AI-driven