A graph database company mined 150,000 Reddit posts to forecast plot outcomes for a TV show's final season. The technical choices it made along the way reveal why throwing unstructured data at AI and ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

Agastya Das, Yogesh Thakku Suresh, Luca-Alexandru Zamfira, Ayush Sharma. Created for the final project for Graduate Foundations of AI (CS 5100) at Northeastern University. This project was developed ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

Graph database maker Neo4j Inc. today launched Infinigraph, calling it a significant advancement in distributed graph technology. The company said the architecture allows users to run both operational ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

According to @deeplearningai and @akollegger, their new course 'Agentic Knowledge Graph Construction' demonstrates how leveraging a team of AI agents can automate the ...