Gis

Enterprise AI Needs Trusted, Proprietary Data Foundations

In this interview, Siva Ravada, Vice President of Development at Oracle, discusses why enterprise AI must be built on trusted, proprietary data foundations. He explains how Oracle integrates geospatial intelligence […] The post Enterprise AI Needs Trusted, Proprietary Data Foundations appeared first on Geospatial World.

92 visualizaciones

¿Te gustó este artículo? ¡Compártelo!

📰 Fuente Original

Este artículo fue curado desde: Geospatial World

Ver artículo original

Hemos agregado contexto y análisis GIS relevante para nuestra comunidad

In this interview, Siva Ravada, Vice President of Development at Oracle, discusses why enterprise AI must be built on trusted, proprietary data foundations. He explains how Oracle integrates geospatial intelligence across its AI database, data lakehouse, and enterprise applications, enabling organizations to combine spatial, graph, vector, and enterprise data for more reliable decision-making.

The conversation explores how AI agents, natural language interfaces, and integrated data infrastructure are simplifying complex geospatial workflows and making spatial analytics accessible to enterprise users.

Advertising

The post Enterprise AI Needs Trusted, Proprietary Data Foundations appeared first on Geospatial World.

[Continuar leyendo en Geospatial World](https://geospatialworld.net/videos/enterprise-ai-trusted-data-foundations/) ### Contexto para la comunidad GIS Esta información es relevante para profesionales de geoprocesamiento, analistas espaciales y usuarios de herramientas como QGIS, ArcGIS y PostGIS.

G

Geospatial World - Curado por GeoProcess Team

Experto en geoprocesamiento y tecnologías GIS. Especializado en análisis espacial y desarrollo de herramientas geoespaciales.

Contenido relacionado

Artículos Relacionados

Advertising