The future of retail doesn’t fit in Excel. A former Zara executive founded Nextail to prove it, building a prescriptive AI engine that processes billions of inventory combinations and frees up to 75% of merchandising teams’ time. This is the story of how mathematical optimization is conquering fast fashion.
Engineers build complex systems but hate marketing. I built an autonomous agent army with Gemini to distribute my content. Here is the technical breakdown of what worked, the friction I encountered, and how it shapes my roadmap.
When AI generates social media content, how do we know if it’s good? I built autopilot-ctrl, a tool that uses GitHub Copilot CLI to evaluate content quality before publishing.
Published in 1984, ‘The Goal’ is more relevant than ever. We analyze how its principles (TOC, DBR, CCPM) apply to modern tech companies and why it is the perfect filter to guide Big Data, AI, and Digital Twin efforts.
While the ’no-code’ world sought simplicity, Graphext secretly built a technological ‘Formula 1’. Discover the atypical story of this Spanish startup, its bet on WebAssembly and Explainable AI, and how it plans to democratize data science without sacrificing power.
From data collection to dynamic dashboards, now it’s time to predict! This post explores integrating OpenWeatherMap’s 5-day forecast and building our own 1-day AI prediction model using historical data, all visualized in our interactive frontend.
Most startups are born from a grand vision. Carto was born from the need to issue an invoice to the UN. This is the incredible story of how a pragmatic project grew into a $92 million giant that is teaching the world to ‘predict through location’.
When generative AI threatened to destroy the stock content industry, a company from Málaga bet its future on a total reinvention. This is the story of Freepik: from its ingenious ‘freemium’ model to its strategic pivot to surf the AI wave and compete head-to-head with tech giants.
Traditional research takes weeks. I asked Gemini for a deep report on AI in education, and here’s what it found: a $32 billion market, an alarming digital divide, and an MIT study on how AI affects our brains.