How a bird-sighting anomaly project turned into a reusable H3 geospatial demo. When you work with geospatial data, you quickly run into this question: I have latitude and longitude… now what? This article is a practical walk-through of a Jupyter notebook that answers exactly that, using H3 and Madrid as a playground. The notebook originally […]
From Lat/Lon to Hexagons and Neighbourhoods: Learning H3 with Madrid Read More »
Lately my feed is full of posts claiming that TOON cuts LLM token usage by 30–60% and that JSON is basically “legacy bloat”. As someone who spends her days helping customers bring AI into production at Oracle, I was curious… but also a bit skeptical. So instead of arguing in the comments, I opened a
JSON vs TOON: Is your data format really the problem? Read More »
What’s happening in Las Vegas right now… won’t stay in Las Vegas. At Oracle AI World, Oracle just unveiled a big wave of innovations, from infrastructure to data to applications. Here’s everything announced (for now). Take a coffee because the list is huge👇
𝙄𝙩 𝙞𝙨 𝙝𝙖𝙥𝙥𝙚𝙣𝙞𝙣𝙜 🅽🅾🆆 Read More »
This marks the start of a new chapter: OCI leading AI infrastructure, industry apps rebuilt with AI agents, and Safra’s legacy of growth. But here’s the big question: ➡️ Can a dual-CEO model accelerate innovation?➡️ Should tech companies prioritize bold visionaries at the top or disciplined operators who ensure flawless execution? Oracle’s future looks bright.
Last June I had the chance to spend two intense, inspiring days at Nexus Luxembourg 2025 – and this time not just as an attendee, but on stage, sharing something I’m deeply passionate about: secure, AI-powered applications built fully inside Oracle Database. Together with my colleague Thomas Minne, we showed how AI, data security, and
Secure AI in Action at Nexus Luxembourg 2025 Read More »
📎 Read Part 1 First:If you haven’t seen the first part where we trained and deployed a machine learning model using OCI Data Science, start here:👉 Part 1: Train and Deploy ML Model in OCI Data Science Introduction Welcome back! In Part 1, we trained a RandomForestClassifier using the Iris dataset, deployed it in OCI
Introduction Welcome to this comprehensive guide on building an Oracle APEX application that integrates with OCI Data Science to make real-time predictions using a machine learning model. This guide is divided into two parts: What you’ll learn in Part 1 In this first part, we will go step by step through: Why you should stay
Workflows are essential in modern applications to streamline processes, ensure consistency, and automate repetitive tasks. Oracle APEX provides a robust workflow engine that allows developers to automate approvals and rejections efficiently. Despite the abundance of blogs and documentation available, many resources often miss crucial steps, such as ensuring a workflow exists both in the development
Automating Approvals with Workflows in Oracle APEX Read More »
My findings after comparing two powerful AI Assistants Over the past few days, I’ve spent some time investigating DeepSeek, a relatively new AI model, and comparing it to ChatGPT, one of the most established AI assistants. Both models have their strengths and weaknesses, but they cater to slightly different needs. In this article, I’ll share
ChatGPT vs DeepSeek: Key Differences and Hands-On Experiments Read More »
Integrating Oracle APEX with Oracle Object Storage is a fundamental step toward creating robust applications for managing data workflows and preparing for advanced data science services. In this article, I will outline the configuration steps and necessary code to visualize and upload files to Object Storage buckets directly from an APEX application. This setup lays
