Today, Google introduced new generative AI capabilities for Google Maps Platform and Google Earth to provide developers and planners with current, real-world insights and help them solve geospatial problems.
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Helping developers build generative AI applications with new location insights
More than 10 million websites and apps use Google Maps Platform to deliver useful products, from delivery apps to real estate websites. As more and more developers create generative AI applications, we often hear that they want an easy way to display up-to-date information in their products. Today we’re introducing Google Maps, a new feature that lets developers use our rich geographic data to create AI-powered generative experiences. Using Google Maps helps make LLM-generated responses more factual and up-to-date, quickly reflecting updates to the 250 million locations in Maps.
Imagine you are a developer for a property rental website. Using your website’s chatbot, a customer could ask “What fitness options are near this apartment?” » Use grounding with Google Mapsyou will be able to view the latest information about the area, including reviews and opening hours of nearby gyms, in addition to the opening time of the venue, making it easy for the customer to make an informed decision . Grounding with Google Maps launches today as an experimental feature.
Coming soon: AI summaries of locations in Rivian vehicles
At this year’s Google I/O, we announced Gemini capabilities in our Places APIwhich allows developers to display AI generative summaries of locations. Next month, Rivian will begin using this feature to display summaries of restaurants, stores and supermarkets on their infotainment screens, so drivers can learn more quickly and easily about a location.
Bringing generative AI capabilities to Google Earth
We’re also bringing Gemini to Google Earth, which will allow city planners to access deeper city-level insights and dramatically reduce the time spent analyzing data from days to minutes.
Imagine a transportation planner wants to install new electric vehicle (EV) chargers in their city. All they have to do is ask, “Can you map the five zip codes with the fewest electric vehicle chargers relative to the size of their geographic area?” » Google Earth uses multi-step reasoning to determine the five zip codes with the fewest electric vehicle charging stations, then generates a useful custom visualization. You can also take this inquire a little further and ask if there are any hotels and malls that don’t have EV chargers inside a certain distance.
We built this capacity in partnership with Google Search And Xthe Moonshot factory. Next month we will start testing Gemini features in Google Earth: register to be considered a trust tester.
