Google Maps is introducing new generative AI capabilities for Google Maps Platform and Google Earth to provide developers and urban planners with updated, real-world information and assist in solving geospatial challenges.
Helping Developers Build Generative AI Applications with Updated Place Information
Over 10 million websites and apps rely on Google Maps Platform to deliver useful products, from delivery services to real estate platforms. As generative AI applications grow in popularity, developers often express a need for easy access to up-to-date information to enhance their offerings. To address this, Google Maps Platform launched Grounding, a new feature that enables developers to utilise our extensive place data to build generative AI-powered experiences.
Grounding with Google Maps enhances the factual accuracy and freshness of answers generated by large language models (LLMs), swiftly reflecting updates from the 250 million places in Google Maps.
For example, a business’s chatbot could use Grounding with Google Maps to provide accurate, real-time information about various locations.
Coming Soon: AI Summaries of Places in Rivian Vehicles
Google I/O recently unveiled Gemini capabilities within the Places API, which enable developers to display generative AI-powered summaries of places. Rivian will integrate this feature into their vehicles’ infotainment systems, offering drivers concise and insightful summaries of restaurants, shops, and supermarkets, making it easier for them to learn about these locations on the go.
Introducing Generative AI Capabilities in Google Earth
Google Maps Platform is also extending Gemini capabilities to Google Earth, offering urban planners more in-depth city-level insights and drastically reducing data analysis times from days to minutes.
For instance, a transportation planner aiming to install electric vehicle (EV) chargers in a city could ask, “Can you map the five postcodes with the fewest EV chargers relative to their geographic area size?” Google Earth uses multi-step reasoning to identify these postcodes and generates a custom visualisation to assist decision-making. Planners could refine the query further, such as asking for locations of hotels and shopping centres without EV chargers within a certain radius.
This capability has been developed in collaboration with Google Research and X, the moonshot factory. Next, they’ll begin piloting Gemini capabilities in Google Earth, and interested participants can sign up to become trusted testers.
Are you excited to see how developers and urban planners will utilise these innovative tools to address real-world challenges. Find out how you can utilise these technologies. Get in touch with us today.
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