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

At Oracle AI World 2026, Oracle’s focus is on agents that operate within defined boundaries, remain controllable, and are ...

Learn what cybercrime is and how to prevent it. Protect your business from phishing, ransomware and other attacks with proven ...

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 ...

Learn why replacing transactional MSMQ with RabbitMQ changes consistency guarantees and how the outbox pattern helps preserve ...

Taking a website offline is not always a failure of cybersecurity. In some circumstances, it is a deliberate containment ...

This article covers how to transform SQL injection countermeasures into a production company's 'internal standard' and ...

For the past few years, AI-assisted database development has followed a fairly comfortable model. A developer describes a ...

As governments move to investigate incidents involving AI agents, Liquibase research finds 96.5% of respondents report AI ...