Graph Technology is Poised to Transform Location Intelligence
Knowledge graphs – representing knowledge as concepts and the relationships between them – are poised for growth, unlocking invaluable insights that would not be evident in tables, charts, or maps. In fact, experts at Gartner predict that by 2025, graph technologies will be used in 80% of data and analytics innovations. Why does a knowledge graph present such a tremendous opportunity when it comes to geospatial data? A geospatial knowledge graph can solve some of the top challenges organizations face with location data, such as difficult data joins and time spent cleaning and transforming data. With the FSQ Graph, businesses can go from resource-intensive processes and siloed systems to fast and easy data unification, discovery, pattern detection and operationalized AI/ML.
Join us for a webinar on 5/23 at 1 PM ET, where VP of Engineering Vikram Gundeti will discuss Foursquare’s pioneering geospatial knowledge Graph.
- How improved Places and movement data quality will help you derive more value from geospatial intelligence, with greater accuracy, scale and compatibility
- A sneak preview of the innovative new products and features that will be powered by our geospatial knowledge Graph, unlocking critical insights while protecting consumer privacy
- Why graph technologies will be used in 80% of data and analytics innovations by 2025, according to Gartner