Managing ML Performance in the Database: A friendly guide to LOW / MEDIUM / HIGH on OML

A common question when using Oracle Machine Learning (OML) on Autonomous Database / Autonomous AI Database is: “What exactly do LOW, MEDIUM, and HIGH mean. And when should I use each one?” These are not informal labels. They are predefined database services (service names in your wallet / tnsnames.ora) that map to resource consumer groups. […]

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I let two AIs review my PRs: One breaks my fastAPI code, the other fixes It

Pull Requests are where good engineering habits either level up… or quietly get replaced by “LGTM, ship it.” You open a PR. You do the responsible things: Then your reviewer asks: What happens if the uploaded filename contains weird Unicode? And you realize the truth we all share: PR reviews are human-scaled. Attackers are not.

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When Housing Becomes a Luxury Tax: Why Young Spaniards Are Giving Up on Their Future

I am writing this in English and publishing it on Medium and LinkedIn because what is happening in Spain with housing should not stay a local, private frustration. It is a systemic problem in a European country that likes to present itself as modern, attractive and “open to talent”, while quietly making decent housing almost

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From Lat/Lon to Hexagons and Neighbourhoods: Learning H3 with Madrid

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

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JSON vs TOON: Is your data format really the problem?

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

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𝗖𝗹𝗮𝘆 𝗠𝗮𝗴𝗼𝘂𝘆𝗿𝗸 𝗮𝗻𝗱 𝗠𝗶𝗸𝗲 𝗦𝗶𝗰𝗶𝗹𝗶𝗮 𝗵𝗮𝘃𝗲 𝗯𝗲𝗲𝗻 𝗮𝗽𝗽𝗼𝗶𝗻𝘁𝗲𝗱 𝗮𝘀 𝗢𝗿𝗮𝗰𝗹𝗲’𝘀 𝗻𝗲𝘄 𝗖𝗘𝗢𝘀, 𝘄𝗵𝗶𝗹𝗲 𝗦𝗮𝗳𝗿𝗮 𝗖𝗮𝘁𝘇 𝘁𝗮𝗸𝗲𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗼𝗹𝗲 𝗼𝗳 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗩𝗶𝗰𝗲 𝗖𝗵𝗮𝗶𝗿 𝗼𝗳 𝘁𝗵𝗲 𝗕𝗼𝗮𝗿𝗱.

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.

𝗖𝗹𝗮𝘆 𝗠𝗮𝗴𝗼𝘂𝘆𝗿𝗸 𝗮𝗻𝗱 𝗠𝗶𝗸𝗲 𝗦𝗶𝗰𝗶𝗹𝗶𝗮 𝗵𝗮𝘃𝗲 𝗯𝗲𝗲𝗻 𝗮𝗽𝗽𝗼𝗶𝗻𝘁𝗲𝗱 𝗮𝘀 𝗢𝗿𝗮𝗰𝗹𝗲’𝘀 𝗻𝗲𝘄 𝗖𝗘𝗢𝘀, 𝘄𝗵𝗶𝗹𝗲 𝗦𝗮𝗳𝗿𝗮 𝗖𝗮𝘁𝘇 𝘁𝗮𝗸𝗲𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗼𝗹𝗲 𝗼𝗳 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗩𝗶𝗰𝗲 𝗖𝗵𝗮𝗶𝗿 𝗼𝗳 𝘁𝗵𝗲 𝗕𝗼𝗮𝗿𝗱. Read More »

Secure AI in Action at Nexus Luxembourg 2025

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

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Building an Oracle APEX Application for Machine Learning Predictions with OCI Data Science — Part 2

📎 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

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Building an Oracle APEX Application for Machine Learning Predictions with OCI Data Science — Part 1

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

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