From industrial IoT signals to predictive maintenance with Oracle AI Data Platform
Figure 1. A connected data foundation connects industrial sensor signals with analytics, alerts, and maintenance action. Industrial manufacturers…
What’s New in Oracle AI Agent Memory: Custom Extraction, Hybrid Search, and More Control
AI agents are most useful when they can carry context forward. A single prompt can answer a question,…
Bringing Cross-Framework Observability to Oracle Open Agent Specification with Opik
AI agents are becoming core components of enterprise applications, automating workflows, coordinating tools, and orchestrating complex tasks. However,…
Building a fault-tolerant training system with PyTorch Monarch on OKE
Training large models is hard. Training them reliably on a shared GPU cluster — where a bad NIC,…
Deploy LangGraph agents on OCI Enterprise AI
Agentic workflows become enterprise systems when they begin serving real workflows. A LangGraph proof of concept can validate…
From Visibility Gaps to Agentic Operations: The AI Supply Chain Tower Story
Walk onto almost any operations shop floor and ask a simple question: “What’s the biggest supply chain risk…
Agentic AI in the Enterprise: A Practical Example in Inventory and Supplier Coordination
In our previous blog, “Agentic AI in the Enterprise: How Oracle Is Powering the Next Wave of Autonomous…
When LLMs Get Lost in Multi‑Turn Chats – and How OCI‑STM Helps
Chat is the most natural interface for working with large language models (LLMs). But it also exposes a…