analiza aiqbench
The article focuses on Oracle's strategy of deploying databases alongside existing AI pipelines and applications across various cloud environments to ensure real-time data access for agentic AI systems. This approach prioritizes minimizing migration friction by using consistent Exadata hardware, thereby treating database location as a critical infrastructure decision directly tied to AI operational efficiency rather than just general software deployment.
Oracle’s multicloud approach: Put the database wherever AI pipelines already run
Enterprises racing to put AI agents into production are learning that real-time data pipelines matter as much as the models. An agent working from a stale subset of corporate records delivers far less than one wired into live, mission-critical data. That shift is changing how companies decide where their databases run. Oracle Corp. has pushed […] The post Oracle’s multicloud approach: Put the database wherever AI pipelines already run appeared first on SiliconANGLE.
Enterprises racing to put AI agents into production are learning that real-time data pipelines matter as much as the models. An agent working from a stale subset of corporate records delivers far less than one wired into live, mission-critical data. That shift is changing how companies decide where their databases run.…
Extras afișat conform termenilor RSS ai publicației · 51 cuvinte · textul integral și figurile sunt pe site-ul publicației
Subiecte conexe
Top 10 Best CNAPP (Cloud-Native Application Protection) Platforms in 2026
Cybersecurity News · 11 sept. 2026
Top 10 Best Sensitive Data Discovery Tools in 2026 [Ranked & Scored]
Cybersecurity News · 26 oct. 2026
Data 360 × Snowflake: Powering the Agentic Enterprise with Zero Copy
Salesforce Blog · 30 oct. 2026
.webp&w=320)
Top 10 Best Cloud Firewall Solutions in 2026
Cybersecurity News · 1 aug. 2026