Giving AI agents access to company data is one thing. Making sure they understand what they’re looking at is another. Different departments often use different definitions for the same numbers. An AI ...

With Jason Rees noting agents need the right data and controls to work at scale, Oracle introduces autonomous cloud tools ...

Oracle Business Semantic Layer and Business Simulation Engine were announced at Oracle AI World Las Vegas 2026, giving ...

Malek Damiri shows how to backtest a customer health score in SQL: point-in-time snapshots, churn by band, and AUC against a ...

Learn how AI is helping cannabis operators improve profitability, strengthen inventory control, reduce compliance risk, and ...

Oracle expands its AI Lakehouse with new data integration, forecasting, and analytics tools to help businesses improve decision-making.

Your Salesforce CRM says a customer is worth $2.4 million. Your ERP reports $1.8 million in recognized revenue. Finance has another number, and your AI analytics tool confidently reports a fourth.

Oracle today announced new capabilities for Oracle Autonomous AI Lakehouse that help organizations give users and AI agents business context, perform multidimensional simulations, and strengthen data ...

The new capability gives AI agents and analytics applications a shared understanding of enterprise metrics, hierarchies, and ...

Microservice architectures require local data projections when multiple services need account data from a master source. Remote SQL joins and API calls create latency and dependency risks that shaped ...

A lack of physical space has forced Copenhagen Airport to undertake a major digital transformation. In just 18 months, the airport established a new, scalable data platform designed to serve as the ...

NRR is easy to inflate by accident. Runnable SQL for net and gross revenue retention, the retention bridge, a monthly trend, ...