Cloud engineers working with Oracle customers keep hitting the same wall. An AI assistant generates a beautiful proof of concept in Python and HTML, the customer loves it, and then the request comes: turn it into an MVP on APEX. The conversion stalls, because there is nothing to convert. Flask routes (piece of a Python web app that connects a URL to a function) have no APEX equivalent, as of now. Instead of debating this in the abstract (even contacted the PM to prove me wrong), here is a lab…
Year: 2026
How to Install Oracle AI Database Private Agent Factory on a Mac (Apple Silicon)
Oracle AI Database Private Agent Factory is a self hosted platform for building AI agents that run entirely on your own infrastructure. Nothing leaves your machine: not your data, not your prompts, not your documents. In this post I walk through a complete installation on a MacBook with Apple Silicon, from download to a running and configured web application, using the exact commands and outputs from my own install. The process has two halves: first the terminal installation, which builds and deploys the containers, and then the in application setup…
Step-by-Step: Building a Meeting-Booking Agent in Oracle AI Database Private Agent Factory
This walkthrough assumes a working Agent Factory installation (Quickstart mode is fine) with an LLM configured, for example, local Ollama running llama3.1:8b. The agent will: read an email, decide whether it’s a meeting request, extract the details, check calendar availability, and draft or book the meeting. Overview of what I’ll build Agent Factory has no built-in Gmail/Outlook connector, so email and calendar arrive as tools via an MCP server (or OpenAPI upload). That’s Step 1 and the only part requiring code, roughly 60 lines of Python. Everything after is no-code…
Conceptualising an AI System for Cancer Type Classification Using Gene Expression Data – Version 3 – Integrating Oracle AI Database 26ai, Oracle APEX, and a Claude-Powered Chat Interface
Table of Contents Version 1:Conceptualising an AI System for Cancer Type Classification Using Gene Expression Data Conceptualising an AI System for Cancer Type Classification Using Gene Expression Data Version 2: Conceptualising an AI System for Cancer Type Classification Using Gene Expression Data – Version 2 — Integrating Oracle AI Database 26ai and Oracle APEX Github: https://github.com/brunorsreis/–cancer-gene-expression-classification-version3/ 1. Introduction Version 2 already stores the gene expression dataset in Oracle, runs Python analytics such as PCA, t-SNE, and K-means, and writes the analytical outputs back into Oracle for Oracle APEX dashboards. Version…
Conceptualising an AI System for Cancer Type Classification Using Gene Expression Data – Version 2 — Integrating Oracle AI Database 26ai and Oracle APEX
Introduction Artificial intelligence (AI) is increasingly transforming healthcare by enabling the analysis of complex biomedical datasets and supporting advances in precision medicine. One important application is the classification of cancer types using gene expression data. Gene expression datasets measure the activity of thousands of genes simultaneously, allowing researchers to identify molecular patterns associated with specific tumour types. These datasets are typically extremely high dimensional and require advanced machine learning techniques to extract meaningful insights. The dataset used in this project contains approximately 802 tumour samples and more than 20,000 gene…
Conceptualising an AI System for Cancer Type Classification Using Gene Expression Data
Introduction Artificial intelligence (AI) is transforming healthcare by enabling advanced analysis of complex biomedical data and supporting clinical decision-making. Traditional statistical methods often struggle with high-dimensional datasets, while machine learning can identify patterns directly from large amounts of data. According to Abtahi and Astaraki (2026), AI is particularly valuable in healthcare when analysing large datasets where traditional methods are limited. One important application of AI is cancer classification using gene expression data. These datasets measure the activity of thousands of genes simultaneously, helping researchers identify molecular patterns linked to specific…