<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Matt Upson</title><description>Thinking out loud about AI, data, leadership, and government. No hype.</description><link>https://mattupson.com/</link><item><title>Whitehall Monitor 2026: What It Means for Digital</title><link>https://mattupson.com/writing/whitehall-monitor-2026/</link><guid isPermaLink="true">https://mattupson.com/writing/whitehall-monitor-2026/</guid><description>The Institute for Government&apos;s annual report highlights Test, Learn and Grow as a model for evidence-led innovation. What it tells us about the state of government digital transformation.</description><pubDate>Wed, 21 Jan 2026 00:00:00 GMT</pubDate></item><item><title>Why AI Projects Go Wrong and What We Can Do About It</title><link>https://mattupson.com/writing/why-projects-go-wrong/</link><guid isPermaLink="true">https://mattupson.com/writing/why-projects-go-wrong/</guid><description>Three critical failure modes from years of AI consulting: poorly defined outcomes, data issues, and lack of ongoing support. Lessons from the Mantis NLP portfolio.</description><pubDate>Wed, 25 Sep 2024 00:00:00 GMT</pubDate></item><item><title>How We&apos;re Thinking About Generative AI: Proprietary vs Open Source</title><link>https://mattupson.com/writing/how-were-thinking-about-generative-ai-proprietary-vs-open-source/</link><guid isPermaLink="true">https://mattupson.com/writing/how-were-thinking-about-generative-ai-proprietary-vs-open-source/</guid><description>The LLM pyramid: a framework for choosing between proprietary and open source models based on performance, privacy, stability, and cost.</description><pubDate>Fri, 26 Jan 2024 00:00:00 GMT</pubDate></item><item><title>How We Think About Generative AI</title><link>https://mattupson.com/writing/how-we-think-about-generative-ai/</link><guid isPermaLink="true">https://mattupson.com/writing/how-we-think-about-generative-ai/</guid><description>When to use LLMs and when not to. The journey from zero-shot prompting to fine-tuning, and why smaller models often beat GPT-4.</description><pubDate>Wed, 25 Oct 2023 00:00:00 GMT</pubDate></item><item><title>How Not to Get Left Behind by AI</title><link>https://mattupson.com/writing/how-not-to-get-left-behind-by-ai/</link><guid isPermaLink="true">https://mattupson.com/writing/how-not-to-get-left-behind-by-ai/</guid><description>Three simple rules for identifying an AI pilot project in your organisation. Start small, measure impact, and build momentum.</description><pubDate>Wed, 20 Sep 2023 00:00:00 GMT</pubDate></item><item><title>Data Version Control for Reproducible Analytical Pipelines</title><link>https://mattupson.com/writing/data-version-control-for-reproducible-analytical-pipelines/</link><guid isPermaLink="true">https://mattupson.com/writing/data-version-control-for-reproducible-analytical-pipelines/</guid><description>How DVC solves one of the hardest problems in government data science: tracking changes to data when spreadsheets are the dominant data model.</description><pubDate>Mon, 17 Oct 2022 00:00:00 GMT</pubDate></item></channel></rss>