Google Cloud now offers Geospatial Analytics, Generative AI on Street View imagery, and more environmental data as part of the broader Google Maps Platform

• Our first** Imagery Insights **dataset, available in Experimental, applies Vertex AI in Google Cloud directly to Street View imagery in data clean rooms, to identify, detect, and see the condition of key infrastructure objects, like telephone poles, street signs, roads, and bridges. If a telecom company wants to identify which utility poles require maintenance, they can use this dataset to more easily locate all their poles virtually.
• Places Insights available in Preview, enables businesses to get customized, aggregated insights about many places in a wider area, based on ratings, store hours, parking, wheelchair accessibility, and more. If a retailer wants to open a new store in an area with a high concentration of expensive restaurants and a low density of large retail brands, Places Insights will provide insights on locations that fit this criteria.
• Roads Management Insights available in Preview, helps public sector and road authorities analyze traffic data and improve roads with historical and real-time traffic information. For example, traffic authorities can use the insights from this to identify accident-prone areas and add safety measures like speed bumps or stop signs. They can also build models that forecast traffic conditions to mitigate congestion before it even occurs.
• Earth Engine in BigQuery available in Preview, enables organizations to derive sustainability insights, such as wildfire risk or deforestation, from satellite imagery for a specified area of interest. With a new geospatial function and 20 new Earth Engine datasets available in BigQuery, this feature makes advanced geospatial analysis accessible to data analysts–even if they don’t have remote sensing expertise.