Oracle AI Database@AWS is now available in Spain! Organizations including @ATMbcn and Helvetia Caser are migrating their critical workloads to Oracle Exadata Database Service and Oracle Autonomous AI Database on OCI within @AWSCloud to accelerate AI innovation:

Spend less time managing databases and more time driving innovation. Join us and @AWS to learn how the latest Oracle AI Database@AWS announcements can help your team simplify operations, reduce overhead, and confidently plan your next migration or modernization project.

AI agents change the database business model. For years, SaaS apps were built around “one app, one database”. But agents are different. The emerging pattern is: one agent, one database. Why? Because each agent needs its own durable memory, context, tools, permissions, audit trail, and billing boundary. A shared database sounds cheaper at first, until you hit the real problems: - compliance gets messy - tenant isolation becomes fragile - per-agent billing is hard - debugging is painful - noisy neighbors appear everywhere - deleting one agent’s data cleanly is harder than it should be The clean abstraction is simple: Give every agent its own database. The hard part is cost. Can you imagine buying 1 million databases from Supabase, Aurora, or hosting 1 million MySQL/Postgres instances yourself? That model breaks immediately. This is where TiDB Cloud proves something important: “one agent, one database” is not just an architecture pattern. It is a new database business. With TiDB Cloud, we can make a database cheap enough to be provisioned per agent — around $2 or even cheaper per database per year. That changes the unit economics. Agents won’t share one giant memory forever. They will each get their own database. And the winning database platform will be the one that makes millions of tiny, isolated, compliant, billable databases feel boringly easy.

Kimi wires up auth + database + backend in one pass One prompt gets you user registration, login, database, booking systems, admin dashboards - wired up and deployed. No separate "now build the backend" step.

Researchers are discovering hundreds of AI-altered wildlife photos on databases They are warning wildlife photographers of using AI-enhanced images in fear of spreading misinformation

Senior US military commanders bypassed warnings in critical databases that intelligence about potential targets in Iran was severely out of date and approved some strikes — including one that hit a school, killing nearly 200 children and adults, according to three sources familiar with the decision-making process.