FEATURE : ANALYTICS

Coinciding with the launch of AI

Agents , CARTO ’ s third State of Spatial Data Science Report shows spatial data science is core to 73 % of respondents ’ business strategy .

As AI solutions continue to grow , 15 % are holding out , reporting that they don ’ t plan to make any AI investments .

Release of the report aligns with the introduction of CARTO AI Agents in private preview – an AI tool that combines geospatial technology with AI enabling decision-makers to address vital spatial questions quickly , democratizing access to spatial analytics and driving improved decision-making .

The barriers of complexity that have traditionally limited map application use to geospatial experts are no longer in place . Leveraging Large Language Models ( LLMs ), AI Agents provide a more intuitive , conversational interface – allowing users of all technical backgrounds to navigate and analyze complex spatial data easily .

While spatial analysis has grown , a quarter of organizations are not using AI in their spatial data science initiatives and only 31 % of organizations have invested in AI tools and technologies .

“ Geospatial data is often isolated from other business data , affecting decision-making ,” said Javier de la Torre , founder and CSO , CARTO .

“ The Spatial Data Science field is on the cusp of an industry-wide transformation as AI allows quick answers to spatial questions and wider access to spatial analytics . With CARTO ’ s AI Agents , businesses can transform their approach to problem-solving , plan and execute solutions , and adapt to changing scenarios in a specific location or across the globe .”

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