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    <title>Luca Fiaschi — AI &amp; Data Executive</title>
    <link>https://lucafiaschi.com/blog/</link>
    <description>Insights on AI strategy, Bayesian methods, data science leadership, and GenAI from Luca Fiaschi.</description>
    <language>en-us</language>
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      <title>The State of Agentic Data Science: From Hype to Real-World Impact</title>
      <link>https://lucafiaschi.com/blog/posts/state-of-agentic-data-science/</link>
      <guid>https://lucafiaschi.com/blog/posts/state-of-agentic-data-science/</guid>
      <description>A panel with Gaël Varoquaux, Shipra Arora, and Hugo Bowne-Anderson on verification, statistical judgment, and data products that business users can question and explore.</description>
      <pubDate>Fri, 02 Oct 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>How to build a brand measurement system: a Bayesian playbook</title>
      <link>https://lucafiaschi.com/blog/posts/measuring-brand-equity/</link>
      <guid>https://lucafiaschi.com/blog/posts/measuring-brand-equity/</guid>
      <description>An opinionated playbook for data science leaders: connect brand tracking, Bayesian MMM, experiments, and VARX to commercial decisions.</description>
      <pubDate>Tue, 15 Sep 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Amortized Bayesian Inference for MMM: Train Once, Reuse</title>
      <link>https://lucafiaschi.com/blog/posts/amortized-bayesian-inference-mmm/</link>
      <guid>https://lucafiaschi.com/blog/posts/amortized-bayesian-inference-mmm/</guid>
      <description>Our BayesFlow webinar with Stefan Radev, explained through a marketing mix model: how amortized inference works, when it pays off, and how to validate it.</description>
      <pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Daimon — From AI Experiment to Company Operating System</title>
      <link>https://lucafiaschi.com/blog/posts/daimon-company-operating-system/</link>
      <guid>https://lucafiaschi.com/blog/posts/daimon-company-operating-system/</guid>
      <description>What changed when an AI agent moved out of private tabs and into the shared conversations where PyMC Labs actually works.</description>
      <pubDate>Sun, 09 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>The 25 Most Asked Questions About Bayesian MMMs</title>
      <link>https://lucafiaschi.com/blog/posts/25-most-asked-mmm-questions/</link>
      <guid>https://lucafiaschi.com/blog/posts/25-most-asked-mmm-questions/</guid>
      <description>Practical answers for marketing leaders and data scientists on building, validating, interpreting, and acting on Bayesian marketing mix models.</description>
      <pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>How I Verified Climate Change While Planning a Trip to Berlin</title>
      <link>https://lucafiaschi.com/blog/posts/climate-change-berlin-trip/</link>
      <guid>https://lucafiaschi.com/blog/posts/climate-change-berlin-trip/</guid>
      <description>A Bayesian detour through 66 years of rain data. The model couldn&apos;t beat the naive baseline, and proved that nothing can. The trend coefficient was the real payoff.</description>
      <pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>No One Said the Ferrari Luce Felt Like a Ferrari</title>
      <link>https://lucafiaschi.com/blog/posts/ferrari-luce-synthetic-consumers/</link>
      <guid>https://lucafiaschi.com/blog/posts/ferrari-luce-synthetic-consumers/</guid>
      <description>I ran 850 synthetic interviews to test Ferrari&apos;s electric Luce, showing how AI panels can speed concept, campaign, and website research.</description>
      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Agentic MMM: Skills, Guardrails, and the New Job of the Data Scientist</title>
      <link>https://lucafiaschi.com/blog/posts/agentic-mmm-measure-up/</link>
      <guid>https://lucafiaschi.com/blog/posts/agentic-mmm-measure-up/</guid>
      <description>Luca Fiaschi joins the Measure Up podcast to discuss agentic marketing mix models, reliable skills and guardrails, and the changing role of data scientists.</description>
      <pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Ask Your MMM Anything: Agentic Dashboards for Marketing Mix Models</title>
      <link>https://lucafiaschi.com/blog/posts/ask-your-mmm-anything/</link>
      <guid>https://lucafiaschi.com/blog/posts/ask-your-mmm-anything/</guid>
      <description>How Decision Lens lets stakeholders question marketing mix models directly, the three problems it solves, and the hard parts that remain.</description>
      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Which MMM Priors Actually Matter: A Sensitivity Analysis</title>
      <link>https://lucafiaschi.com/blog/posts/mmm-priors-sensitivity/</link>
      <guid>https://lucafiaschi.com/blog/posts/mmm-priors-sensitivity/</guid>
      <description>A sensitivity analysis across 14 prior configurations reveals which Bayesian MMM priors are inert, which remain influential, and where ROAS error persists.</description>
      <pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>What Happens When Stakeholders Can Talk to Bayesian Models?</title>
      <link>https://lucafiaschi.com/blog/posts/talking-to-bayesian-models/</link>
      <guid>https://lucafiaschi.com/blog/posts/talking-to-bayesian-models/</guid>
      <description>A working agent on top of a PyMC-Marketing model shows how stakeholders can question Bayesian MMMs in plain English without routing requests through a data scientist.</description>
      <pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>The Only Two Things That Still Matter: Intent and Taste</title>
      <link>https://lucafiaschi.com/blog/posts/intent-taste-masters-data-ai/</link>
      <guid>https://lucafiaschi.com/blog/posts/intent-taste-masters-data-ai/</guid>
      <description>Luca Fiaschi joins Rocky Khan on Masters of Data, BI &amp; AI to discuss pricing, the shift from software to AI, and why human intent and taste still matter.</description>
      <pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>Synthetic Buyers: Testing Products and Creatives at the Speed of Software</title>
      <link>https://lucafiaschi.com/blog/posts/synthetic-buyers/</link>
      <guid>https://lucafiaschi.com/blog/posts/synthetic-buyers/</guid>
      <description>A summary of my SAMI talk on synthetic consumers: using LLM-simulated buyer panels to pre-screen products, creatives, and messaging before spending real money.</description>
      <pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>What Do Data Teams Actually Look Like in 2026? A Large LinkedIn Benchmark</title>
      <link>https://lucafiaschi.com/blog/posts/data-ai-teams-benchmark-2026/</link>
      <guid>https://lucafiaschi.com/blog/posts/data-ai-teams-benchmark-2026/</guid>
      <description>I analyzed LinkedIn data on 213 tech companies to benchmark data and AI team composition. Role mix matters more than team size.</description>
      <pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>I ran 25 experiments on AI brainstorming. More agents beat better prompts.</title>
      <link>https://lucafiaschi.com/blog/posts/diverse-ideas-experiments/</link>
      <guid>https://lucafiaschi.com/blog/posts/diverse-ideas-experiments/</guid>
      <description>Experiments across 1 to 22 AI agents show why scaling agent diversity can matter more than better prompts for generating varied ideas.</description>
      <pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Bayesian Autoresearch for Causal Inference: When You Can&apos;t Score the Thing You Care About</title>
      <link>https://lucafiaschi.com/blog/posts/bayesian-autoresearcher/</link>
      <guid>https://lucafiaschi.com/blog/posts/bayesian-autoresearcher/</guid>
      <description>Adapting Karpathy&apos;s autoresearch to Bayesian causal modeling, where the treatment effect has no ground truth and the agent must optimize a proxy.</description>
      <pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>I Gave 24 LLMs a Personality Test. Their Answers Say More About Training Than You&apos;d Expect.</title>
      <link>https://lucafiaschi.com/blog/posts/llm-personality-survey/</link>
      <guid>https://lucafiaschi.com/blog/posts/llm-personality-survey/</guid>
      <description>A Big Five survey across 24 LLMs finds distinct behavioral fingerprints by model family—and shows why the statistical patterns need careful interpretation.</description>
      <pubDate>Mon, 23 Feb 2026 00:00:00 GMT</pubDate>
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    <item>
      <title>100,000 Agent Skills in 3 Months. Most of Them Are Untested.</title>
      <link>https://lucafiaschi.com/blog/posts/skills-registry-landscape/</link>
      <guid>https://lucafiaschi.com/blog/posts/skills-registry-landscape/</guid>
      <description>The AI agent skills ecosystem grew explosively. Security scanning followed. But nobody is checking whether skills actually work. That&apos;s the gap.</description>
      <pubDate>Sun, 22 Feb 2026 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Let Bayes tune Bayes: hyperparameter optimization for causal MMMs with Optuna</title>
      <link>https://lucafiaschi.com/blog/posts/bayesian-hyperparameter-tuning-mmm/</link>
      <guid>https://lucafiaschi.com/blog/posts/bayesian-hyperparameter-tuning-mmm/</guid>
      <description>Combining Optuna&apos;s Bayesian optimization with PyMC-Marketing and CRPS to systematically tune Media Mix Model hyperparameters, instead of guessing.</description>
      <pubDate>Sat, 20 Dec 2025 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Introduction to Bayesian Thinking for Business Leaders</title>
      <link>https://lucafiaschi.com/blog/posts/bayesian-thinking-for-business/</link>
      <guid>https://lucafiaschi.com/blog/posts/bayesian-thinking-for-business/</guid>
      <description>Why traditional statistical methods often fail in business contexts, and how Bayesian approaches can help you make better decisions under uncertainty.</description>
      <pubDate>Wed, 12 Nov 2025 00:00:00 GMT</pubDate>
    </item>
    <item>
      <title>Agentic Systems for Bayesian MMM and Consumer Testing</title>
      <link>https://lucafiaschi.com/blog/posts/agentic-systems-bayesian-mmm/</link>
      <guid>https://lucafiaschi.com/blog/posts/agentic-systems-bayesian-mmm/</guid>
      <description>How two production systems use agentic AI to move Bayesian MMM and consumer testing from manual analysis toward collaborative decision-making.</description>
      <pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate>
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