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Artificial intelligence is significantly changing real-time audience analytics by enhancing data processing and interpretation. This transformation allows for more accurate and immediate insights into audience behavior, enabling businesses to tailor content and marketing strategies effectively. The integration of AI technologies improves the speed and precision of analyzing large volumes of data, which benefits sectors relying on audience engagement metrics.

How Artificial Intelligence Is Transforming Real-Time Audience Analytics - The AI Journal

AI & ML·news.google.com·Mar 25·1 min read

AIThe AI JournalArtificial Intelligence

Oracle announced new agentic AI capabilities for its AI Database, featuring a Unified Memory Core that processes vector, JSON, graph, relational, spatial, and columnar data in a single ACID-transactional engine without sync layers. The release includes Vectors on Ice for vector indexing on Apache Iceberg tables, a standalone Autonomous AI Vector Database service, and an Autonomous AI Database MCP Server for agent access. Oracle aims to address data fragmentation and consistency challenges in enterprise AI deployments.

Oracle converges the AI data stack to give enterprise agents a single version of truth

VentureBeat·venturebeat.com·Mar 25·1 min read

AIOracleFortune Global

Oracle converges the AI data stack to give enterprise agents a single version of truth

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