<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>DataMinds · Insights</title><description>Notes from the field on data, machine learning and shipping AI.</description><link>https://dataminds.gr/</link><language>en-gb</language><item><title>From PoC to production in 90 days: how we run an AI project</title><link>https://dataminds.gr/insights/poc-to-production-90-days/</link><guid isPermaLink="true">https://dataminds.gr/insights/poc-to-production-90-days/</guid><description>The week-by-week structure behind our 90-day promise, and why most AI pilots never make it to production.</description><pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate><category>Industry Applications</category></item><item><title>The technology we love: our 2026 data and AI stack</title><link>https://dataminds.gr/insights/technology-we-love-2026/</link><guid isPermaLink="true">https://dataminds.gr/insights/technology-we-love-2026/</guid><description>The tools we reach for on client projects and our own products, and the reasoning behind each choice.</description><pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate><category>Behind the scenes</category></item><item><title>Best practices in machine learning: what survives contact with production</title><link>https://dataminds.gr/insights/ml-best-practices-production/</link><guid isPermaLink="true">https://dataminds.gr/insights/ml-best-practices-production/</guid><description>Most machine learning advice is about training models. Here is what actually matters once a model has to run every day.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate><category>Data Science</category></item></channel></rss>