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Mistral OCR 3: Turning Messy Documents into Machine-Ready Knowledge
Most organizations are drowning in PDFs, scans, and handwritten notes that traditional OCR can’t reliably convert into usable data. Mistral OCR 3 is built to fix that, shifting from basic text extraction to true, structure-aware document understanding. What Mistral OCR 3 Delivers - High-accuracy OCR across invoices, receipts, dense forms, government and compliance docs, technical/scientific reports, and even handwriting or low-DPI scans. - A 74% overall win rate over Mistral
Aykut Onat
Dec 18, 20251 min read


How AI Is Changing Basketball Without Replacing the People Who Drive It
A few years ago, “advanced stats” in basketball meant plus-minus and shot charts. Now, the NBA is wiring the game into the cloud and using AI to surface things fans and coaches could feel but never measure. Through a deep partnership with Amazon Web Services (AWS), the NBA now tracks 29 data points per player in real time—billions of on-court data points across the league. That raw information feeds NBA Inside the Game powered by AWS , a new platform designed to translate com
Aykut Onat
Nov 22, 20252 min read


Artist-First AI: Inside Warner Music Group and Stability AI’s New Alliance
On November 19, 2025, in NEW YORK, NY, Warner Music Group (WMG) and Stability AI announced a collaboration that says a lot about where music and AI are headed next. Instead of chasing novelty for its own sake, the two companies are building responsible, professional-grade AI tools that put artists’ rights, control, and creativity at the center. At the heart of the partnership is a clear goal: enable artists, songwriters, and producers to experiment, compose, and produce with
Aykut Onat
Nov 20, 20252 min read


How I Deployed My NBA Prediction App Using Hugging Face Spaces and Streamlit
In this final chapter of my NBA Insights project, I walk through the complete deployment process—turning a local machine learning app into a live web application on Hugging Face Spaces. Learn how I handled Docker vs. Streamlit SDK choices, securely managed secrets like Google API credentials, and worked around model file upload issues using Hugging Face Datasets. This post is packed with real deployment lessons, code snippets, and a look ahead at what’s coming next for the NB
Aykut Onat
Jul 27, 20252 min read


Building NBA Insights AI — Weeks 3 to 5 Recap
In this three-week sprint, I took NBA Insights from a basic prediction script to a powerful AI system that understands momentum, rest, and game context. From experimenting with Logistic Regression vs. XGBoost to engineering features like win streaks and opponent win rates, this post documents how I trained, evaluated, and deployed an NBA prediction model that hit 70% accuracy on unseen data. Whether you're into machine learning, sports analytics, or building AI tools with rea
Aykut Onat
Jul 6, 20252 min read


From Image to SEO: Building a Smarter Way to Write Product Listings
Tired of writing SEO product listings by hand? I built an AI-powered tool that turns product images into Amazon-style titles and bullet points — in seconds. In this post, I share how it works, why it matters, and what’s next for smarter catalog content.
Aykut Onat
May 22, 20252 min read


We Used to Stage the Couch. Now We Just Describe the Room.
If you’ve ever helped build lifestyle imagery for a product catalog, you know the pain: Shipping delays, lighting revisions, styling...
Aykut Onat
May 12, 20253 min read
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