Signals Collide at Collision

May 6, 2016 — A display at last week’s Collision Conference in New Orleans explained that organizers were inspired by Swiss mathematician Leonhard Euler’s graph theory ‒ with a nod to its role in Google’s PageRank and the Facebook social graph ‒ to “change how you find relevant people, talks, and even pub crawls.” The result was a refreshingly well-curated event where participants were able to establish targeted relationships and interact with the right people.

Graph theory resonates with us at The Wireless Registry because we’re busy building a dataset of wireless signals and devices (WiFi, Bluetooth, BLE) that we call the Signal Graph™. Rather than a list, the Signal Graph™ dynamically ‘maps’ wireless signals ‒ and interactions between those devices over time ‒ in the physical world. Insights derived from the Signal Graph™ power the platform behind a number of services — social and mobile engagement, authentication, situational awareness and security, as well as industrial applications.

While in New Orleans, The Wireless Registry’s AI identified a vast number of signals and attributed them to particular hotels, restaurants, bars, Collision itself, as well as to a multitude of IoT devices. Through the resolution and interpretation of these signals and of their dynamic relationships, our infrastructure provides, for example, valuable Proximal Intelligence that supports business decision-making through richer and more accurate consumer audiences.

Each wireless device (routers, wearables, smartphones, and more) is a node in the Signal Graph™. For a visual window into the Signal Graph™, here’s just a snapshot of selected raw observations by a team member’s smartphone over the course of their time at Collision.