June 2026 Summaries

Organizations face challenges in accessing geospatial data due to outdated pricing models that restrict the widespread use of GIS software, traditionally sold via seat or concurrent licenses with high costs. This approach limits access to spatial analytics, confining it to a small group of specialists and preventing broader organizational decision-making. As the demand for spatial insights grows across various business sectors, the industry is shifting towards consumption-based pricing models, which align costs with actual usage rather than fixed seat counts. This model is more adaptable to modern technological advancements like cloud computing and AI, where value is derived from outcomes and analytics usage rather than the number of licensed users. CARTO, a company in the geospatial field, is adopting this approach to democratize access to spatial analytics, enabling organizations to scale their use of Location Intelligence without the financial burden of traditional licensing, thereby allowing broader participation and fostering quicker, data-driven decisions.

CARTO for Agents is revolutionizing geospatial application development by integrating AI coding agents to streamline the creation of customized spatial applications. This approach allows developers to quickly assemble applications, such as dashboards or interactive story maps, by leveraging CARTO's platform and tools like the carto-develop-app skill and CARTO CLI. These agents facilitate secure access to data warehouses, enabling the rapid generation of applications that include features like spatial filtering, widgets, and interactive maps. By combining AI with CARTO's geospatial expertise, users can build scalable and high-performance applications tailored to specific industry needs. This democratizes access to advanced geospatial tools, allowing any team to deliver custom solutions efficiently, transforming how organizations engage with spatial data.

CARTO is a cloud-native platform that allows spatial analytics to be conducted directly within a user's existing cloud data warehouse, ensuring that data remains in its original environment without being copied or moved. It supports integration with multiple data warehouses like Google BigQuery, Snowflake, Databricks, Amazon Redshift, and Oracle, enabling seamless analysis in hybrid environments. By leveraging the compute power of these warehouses, CARTO enhances map performance and ensures scalability while maintaining data security through existing governance frameworks. The platform also allows organizations to integrate their own location services and external datasets without needing to build new pipelines. This architecture provides a secure environment for AI Agents to execute spatial queries, as all operations are confined within the user's governed data ecosystem.

The World Cup 2026, which began at Estadio Azteca in Mexico City, is notable not only for being the largest edition in history with 48 teams and 104 matches across 16 stadiums in the USA, Mexico, and Canada, but also for being the most sponsored, filling all 16 global sponsorship positions before the opening match. An analysis conducted using CARTO's geospatial tools highlights the importance of focusing sponsorship activations on areas with high concentrations of people, retail, and food and drink activity rather than just near stadiums. Using an interactive map that scores areas based on these factors, the study identifies key activation hotspots, emphasizing the significance of understanding audience distribution and local dynamics to optimize marketing strategies. This approach, built within a short timeframe using AI and publicly available data, demonstrates the potential for efficient geospatial analysis to inform marketing decisions, suggesting that similar methodologies can be applied to other markets and industries for various operational needs.

Agentic analytics is revolutionizing how data teams, particularly in Geographic Information Systems (GIS), conduct spatial analysis by leveraging coding agents to perform complex, multi-stage tasks with efficiency and accuracy. These coding agents, such as Claude and Codex, utilize CARTO for Agents—a platform specifically designed for the Agentic Enterprise—to author entire geospatial workflows from simple prompts, thereby transforming traditional processes that previously required extensive time and expertise. With the integration of CARTO Agent Skills, these agents can execute specialized spatial analyses, like trade area analysis or site selection, by following pre-encoded playbooks that ensure consistency and reliability in outcomes. The workflows generated are versioned, shareable, and auditable, running natively within data warehouses to maintain security and governance compliance. This development allows analysts to focus on high-value tasks while agents handle repetitive analyses, ultimately speeding up decision-making and enabling broader access to sophisticated spatial insights across organizations.

Geospatial data is increasingly vital for state and local agencies, as it comes from diverse sources like traffic sensors, satellites, and mobile devices, providing a comprehensive real-time view of the world. However, challenges such as fragmented departments, siloed data storage, and budget constraints hinder effective data utilization. Despite investments in cloud-based data warehouses, geospatial data often remains locked in costly and outdated desktop software. The advent of remote sensors, hyper-localization, and generative AI is reshaping this landscape by enabling real-time, granular insights and empowering non-technical users to engage with complex datasets. Solutions like Google Roads Management Insights and CARTO's Agentic GIS offer transformative tools for proactive decision-making in transportation planning and beyond, making it possible for agencies to leverage geospatial data efficiently and sustainably. These innovations help agencies move from reactive to predictive models, allowing them to address pressing issues such as road safety, traffic congestion, and environmental impacts more effectively, ultimately enhancing public sector operations and decision-making processes.

CARTO for Agents is a pioneering GIS platform that integrates seamlessly with Snowflake, enabling coding agents to operate the platform end-to-end through its extended CARTO CLI, public catalog of CARTO Agent Skills, and enriched MCP Server. This integration allows for the execution of spatial workflows, map creation, and application development directly within Snowflake, maintaining data governance without intermediate storage. Snowflake's Cortex Code, a native AI coding agent, complements this setup by functioning within the Snowflake environment and enabling natural language interactions for business users. CARTO for Agents enhances this by empowering teams to build interactive maps and spatial applications using Cortex Code, with workflows and analytical procedures designed to be versioned and auditable. The collaboration highlights the capabilities of both platforms in providing scalable, efficient, and governed geospatial analysis, distinguishing CARTO as a cloud-native GIS tool that operates within the data warehouse environment, contrasting with traditional GIS platforms.