Google has announced a new suite of generative AI features across its mapping and geospatial platforms during the Google Cloud Next conference in Las Vegas, targeting enterprises with faster and more advanced spatial data analysis capabilities.

The updates integrate generative AI directly into mapping systems, enabling users to create realistic visualizations of future projects and analyze satellite imagery with significantly improved speed and precision, without the need for complex system development.

A key feature, Maps Imagery Grounding, allows users to generate realistic Street View scenes using text prompts via the Gemini Enterprise Agent Platform, with the ability to convert these visuals into videos using the Veo tool.

The feature supports applications such as urban planning, construction site visualization, and client presentations.

Google also introduced Aerial and Satellite Insights, which enables rapid analysis of satellite and aerial imagery stored in BigQuery, reducing processing times from weeks to minutes and supporting faster, data-driven decision-making in areas such as urban development and resource management.

Additionally, the company unveiled Earth AI models designed to detect and analyze geographic features such as roads, bridges, and power lines without requiring custom AI model development, significantly reducing time and cost for enterprises.

These technologies are already being used by organizations such as Airbus for environmental monitoring and Boston Children’s Hospital in disaster response efforts.

Overall, the updates reflect Google’s broader strategy to empower organizations with faster, more accurate geospatial intelligence to improve planning, operations, and decision-making across industries.