We recently expanded our partnership with NetApp across ourdata platforms and enterprise infrastructure with Oracle Cloud Infrastructure NetApp Storage Service! 🎉 This first-party storage service brings NetApp intelligent data infrastructure natively to OCI and combines our secure, high-performance cloud infrastructure together with NetApp ONTAP’s industry-proven data infrastructure capabilities. Learn more: social.ora.cl/6010BHBKKA

How do you let an AI agent query business data safely? There are three ideas to consider: 🔒 Security lives in the database, not in the MCP 💰 Everything a tool returns costs money (expressed in latency and tokens) and attention 🚫 An AI writing fresh SQL queries every time it wants to access something is wrong Want to learn more? Check out our latest blog 👉 social.ora.cl/6012BGvNta

AI agents can reason over enterprise data, use tools, and take action. But doing a business task well also requires knowing how an organization expects the work to be done. Oracle AI Data Platform supports skills for high-code agents that follow the Open Agent Skills standard. These skills can work alongside enterprise data and tools to help agents handle specialized tasks. We show it in practice. social.ora.cl/6019BHB1sd

We highlight the latest Oracle AI Agent Memory innovations, including graph-aware retrieval, image memory, and enterprise controls that help AI agents deliver more relevant, context-aware, and governed experiences. Learn more: social.ora.cl/6017BGiScZ

Examine two secure patterns for using a fully private OCI Object Storage bucket as a Cloudflare origin. In both patterns, clients access content only through Cloudflare; they cannot access the bucket directly or produce a valid signed request without the credentials Cloudflare holds. Read more: social.ora.cl/6015BGqjub

Walk through the model behind memory links, the valid and invalid lifecycle states, and the difference between ordinary retrieval and graph-aware search. social.ora.cl/6016BGv2SC

We take a closer look at the Hybrid Transition approach to modernization, which allows customers to move B2B processing to Oracle Integration B2B while preserving their existing SOA business logic and backend connectivity. social.ora.cl/6015BGYOXv

What is context engineering? We dive into how it differs from prompt engineering and share four operations that decide whether your agent survives production (and what each one costs). social.ora.cl/6016BGv2yI

Anders Swanson shares how to use Oracle AI Database containers to build, test, and experiment. 🧪

This hands-on workshop introduces OCI Internet of Things Platform and its digital twin capabilities through a practical equipment-monitoring scenario that applies across industries. Learn how to represent physical assets and their relationships in a shared digital model, connect telemetry from different sources, and use incoming data to understand equipment condition and performance. social.ora.cl/6019BGvSN3

What could you create when OpenAI Codex meets Oracle AI Database? 🤔 Join @OpenAI Codex and Oracle AI Database experts at #AIWorld for an exciting, open-format hackathon built for curious minds and creative problem solvers. Use Codex with Oracle AI Database, FreeSQL, and MCP to turn your bold ideas into working prototypes. Register now: social.ora.cl/6017BH1YvZ

Our team was thrilled to be at #AIEngineerNY this week discussing AI agents, RAG, Oracle APEX, and all the exciting things happening with Oracle AI Database! Thanks to everyone who swung by our booth and checked out our workshops, lightning talks, and breakout sessions. Until next time, New York. 🤗🍎

The challenge for some modern enterprises is coordinating live audio, phone networks, AI models, enterprise data, security, and observability without building a fragile one-off integration. Enter LiveKit. Its open-source Agents framework can be self-hosted and, combined with OCI AI services, gives teams a practical way to build and operate real-time voice agents they can own, monitor, and extend. Learn more: social.ora.cl/6011BGqjl5

Building APIs for AI agents means planning for bursty traffic, persistent context, and tool calls that take time to complete. @thenewstack shares how familiar microservices principles can help teams handle those demands: social.ora.cl/6011BGfkVJ

We explain how to share and reuse Oracle SELECT AI Agent Teams across database schemas, including how to simplify agent management, improve governance, and enable scalable, reusable AI agents in Oracle AI Database for enterprise applications. social.ora.cl/6016BGqjkg

Whether modernizing enterprise applications, scaling AI inference, deploying AI agents, or preparing for the next generation of enterprise AI, our offering of an integrated Helios-based foundation with AMD is designed to help turn AI from an experiment into a dependable production capability. Get all the details: social.ora.cl/6012BGqb7g

One prompt is easy. Production is harder. See how LangGraph orchestrates specialized agents on OKE with an Agent Registry, RAG, async workflows, and OCI AI services to automate contract generation and review. social.ora.cl/6015BGqjyF

We walk through how to scale 1,000 AI agents on Oracle Kubernetes Engine using OCI File Storage. Learn architecture patterns, shared storage strategies, and best practices for building scalable, high-performance multi-agent AI workloads on OCI. social.ora.cl/6018BGisj4

Oracle Integration 26.10 continues to expand enterprise connectivity and intelligent automation, delivering new adapters and enhancements across agent-driven workflows, AI native actions, event processing, security, data integration, and cloud connectivity. Learn more about the latest enhancements: social.ora.cl/6017BGYuyU

The latest video in our Oracle Developer Explains series digs into why the boundary between persistent memory and derived context matters, how to pick a sync strategy for each memory type, and how the rebuild test tells you whether the boundary is real—using Oracle AI Database 26ai and the companion notebook. Watch 👉 social.ora.cl/6012BGfUpk