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<title>Isabel Amrein</title><link>https://isabelamrein.com/en/</link><description>Isabel Amrein De Luca, Lending Product Manager: projects and notes on data, generative AI and product. Learning by building, with my own examples.</description><language>en</language>
<atom:link href="https://isabelamrein.com/en/rss.xml" rel="self" type="application/rss+xml"/><item><title>From problem to match: how we would approach finding a home with AI</title><link>https://isabelamrein.com/en/blog/from-problem-to-match-finding-a-home-with-ai/</link><guid isPermaLink="true">https://isabelamrein.com/en/blog/from-problem-to-match-finding-a-home-with-ai/</guid><pubDate>Mon, 19 Oct 2026 08:00:00 +0000</pubDate><description>A class case study: how to go from a real problem, finding a home, to a data and AI idea with value, a business model and metrics.</description><category>use-case</category><category>innovation</category><category>value-proposition</category></item><item><title>Data strategy: purpose first, then the plan</title><link>https://isabelamrein.com/en/blog/data-strategy-purpose-and-plan/</link><guid isPermaLink="true">https://isabelamrein.com/en/blog/data-strategy-purpose-and-plan/</guid><pubDate>Sun, 11 Oct 2026 08:00:00 +0000</pubDate><description>A data strategy is a purpose plus a plan. How to place an organization by its maturity, and why data only creates value if the people who use it understand it.</description><category>data-strategy</category><category>data-driven</category><category>fundamentals</category></item><item><title>Machine learning: when the data writes the rules</title><link>https://isabelamrein.com/en/blog/machine-learning-data-writes-the-rules/</link><guid isPermaLink="true">https://isabelamrein.com/en/blog/machine-learning-data-writes-the-rules/</guid><pubDate>Sun, 11 Oct 2026 08:00:00 +0000</pubDate><description>What machine learning is, how a project is built from start to finish, and why training the model is only the tip of the iceberg.</description><category>machine-learning</category><category>fundamentals</category><category>data-science</category></item></channel></rss>
