Google says its new generative AI features for Maps and Earth can cut work that once took months down to minutes or seconds. Unveiled at Cloud Next in Las Vegas, the upgrades target enterprise customers: businesses can prompt AI to render photorealistic scenes inside Street View, run fast analytics on BigQuery-hosted satellite imagery, and use prebuilt Earth AI models to spot infrastructure such as roads and power lines. Google named partners including Airbus and Boston Children’s Hospital.

What Google revealed in Las Vegas Google announced capabilities that fold generative AI into its mapping stack. The headline feature, Maps Imagery Grounding, lets enterprise users type a prompt in the Gemini Enterprise Agent Platform and place a generated, photorealistic scene inside Google Street View when Maps Imagery settings are enabled. Use cases include film previsualization and visualizing construction or site changes before work begins. BigQuery and satellite analytics Aerial and Satellite Insights links satellite and aerial imagery stored in BigQuery with AI-driven analysis. Analysts can query large image sets and extract change detection, object identification or time-series patterns far faster than manual review, reducing the need to build custom storage-and-model pipelines. Prebuilt Earth AI models Google also introduced two Earth AI Imagery models trained to recognize overhead objects such as bridges, roads and power lines. Organizations that previously had to train custom vision systems can now leverage Google’s prebuilt models as part of the Earth AI platform. How these tools fit enterprise workflows By tying generative AI to Street View, Google enables rapid concept-to-visualization workflows: creative teams can storyboard and animate scenes, while planners and engineers can layer AI-generated scenarios into street-level context for faster site assessments. The tight integration across Gemini Enterprise Agent Platform, Google Maps Imagery settings, BigQuery and Veo is meant to let customers mix and match services without rebuilding pipelines. Technical limits and controls Google emphasized configuration and control: Maps Imagery Grounding requires the proper Maps Imagery settings to be enabled. The company positions these features as extensions of its Earth AI platform for commercial workflows including planning, construction, monitoring and disaster response.

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Google says the Earth AI Imagery models are trained to identify overhead objects such as bridges, roads and power lines, positioning the tools as components for enterprise planning, monitoring and disaster-response workflows.

This article was created with AI assistance.