Mentioned in 5 AI use cases across 3 industries
Think of GEM as a super-smart matchmaker that reads every ad, every user’s behavior, and a ton of context, then “imagines” which specific ad version and placement a person is most likely to respond to—millions of times per second across Meta’s apps.
Think of a city’s road network as a giant, messy orchestra. This use case is about putting an AI ‘conductor’ in charge that can see what’s happening on the roads in real time (via cameras and sensors), predict where jams and accidents might happen, and then adjust traffic lights, signals, and routing instructions to keep everything flowing smoothly.
Think of MOON Embedding as a smarter matchmaking system between what shoppers type (and see) and the ads you show them. Instead of just using keywords, it learns a shared ‘language’ across text, images, and other signals so the ad engine can understand what a shopper really wants and pick the most relevant product ad in real time.
This is like giving every seller on eBay a smart assistant that can (1) tell them what a fair price is for their item based on millions of similar listings, and (2) instantly show shoppers other items that are most similar to what they’re viewing or searching for.
Think of this as a map of all the ways online stores are using AI today—like a guidebook that explains how Amazon‑style recommendations, smart pricing, chatbots, and fraud checks actually work and where they’re going next.