A Farewell to APMs — The Future of Observability is MCP tools
Image generated using Midjourney The past years have been an absolute rollercoaster (or joyride) of rapidly evolving generative AI technologies. In the twenty-five years I’ve counted myself a software developer, I cannot recall a tectonic shift of a similar magnitude, one that is already fundamentally changing how software is being written. It would be shortsighted […]
How AI Is Rewriting the Day-to-Day of Data Scientists
In my past articles, I have explored and compared many AI tools, for example, Google’s Data Science Agent, ChatGPT vs. Claude vs. Gemini for Data Science, DeepSeek V3, etc. However, this is only a small subset of all the AI tools available for Data Science. Just to name a few that I used at work: […]
Why Are Convolutional Neural Networks Great For Images?
The Universal Approximation Theorem states that a neural network with a single hidden layer and a nonlinear activation function can approximate any continuous function. Practical issues aside, such that the number of neurons in this hidden layer would grow enormously large, we do not need other network architectures. A simple feed-forward neural network could do the trick. […]
How Would I Learn to Code with ChatGPT if I Had to Start Again
Coding has been a part of my life since I was 10. From modifying HTML & CSS for my Friendster profile during the simple internet days to exploring SQL injections for the thrill, building a three-legged robot for fun, and lately diving into Python coding, my coding journey has been diverse and fun! Here’s what […]
Reinforcement Learning from One Example?
Prompt engineering alone won’t get us to production. Fine-tuning is expensive. And reinforcement learning? That’s been reserved for well-funded labs with massive datasets until now. New research from Microsoft and academic collaborators has overturned that assumption. Using Reinforcement Learning with Verifiable Rewards (RLVR) and just a single training example, researchers achieved results on par with […]
AI Agents for a More Sustainable World
As political support for sustainability weakens, the need for long-term sustainable practices has never been more critical. How can we use analytics, boosted by agentic AI, to support companies in their green transformation? For years, the focus of my blog was always on using Supply Chain Analytics methodologies and tools to solve specific problems. Four […]
How to Level Up Your Technical Skills in This AI Era
AI-assisted coding is here to stay. Tools like Cursor, V0, and Lovable have dramatically lowered the barrier to entry — building dashboards, pipelines, or entire apps can now be done in a fraction of the time. I use these tools daily, and they’ve definitely made me faster. But as the codebase gets more complex, the tradeoffs become […]
From FOMO to Opportunity: Analytical AI in the Era of LLM Agents
Are you feeling “fear of missing out” (FOMO) when it comes to LLM agents? Well, that was the case for me for quite a while. In recent months, it feels like my online feeds have been completely bombarded by “LLM Agents”: every other technical blog is trying to show me “how to build an agent […]
Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini
This article is co-authored by Ugo Pradère and David Haüet How hard can it be to transcribe an interview? You feed the audio to an AI model, wait a few minutes, and boom: perfect transcript, right? Well… not quite. When it comes to accurately transcribe long audio interviews, even more when the spoken language is […]