<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="/feed.xsl"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Beer, Wine, Whiskey &amp; AI</title>
    <link>https://ankurnapa.github.io/</link>
    <description>Beer, Wine, Whiskey &amp; AI explores where the drinks industry meets artificial intelligence — fermentation and distillation forecasting, production analytics, AI tasting notes, and the data science behind better beer, wine, whiskey, and mead.</description>
    <language>en-US</language>
    <lastBuildDate>Fri, 12 Jun 2026 12:41:31 -0700</lastBuildDate>
    <atom:link href="https://ankurnapa.github.io/feed.xml" rel="self" type="application/rss+xml" />
    <generator>Jekyll</generator>
    
    <item>
      <title>Where Your Extract, Water and Energy Go: Sankey and the Brewhouse Balance</title>
      <link>https://ankurnapa.github.io/2026/sankey-brewhouse-mass-energy-balance/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/sankey-brewhouse-mass-energy-balance/</guid>
      <pubDate>Fri, 12 Jun 2026 12:10:00 -0700</pubDate>
      <description>A brewery&apos;s biggest losses hide in plain sight across a dozen separate reports. A Sankey diagram puts the whole mass and energy balance in one picture — extract from grain to glass, water in to effluent out, energy in to heat lost — so the leaks become impossible to miss.</description>
      <category>brewing-science</category><category>brewing-data-viz</category><category>data-visualization</category><category>sustainability</category><category>process-intelligence</category>
    </item>
    
    <item>
      <title>Shelf-Life Trajectories: Visualizing Forced-Ageing and Flavour Stability</title>
      <link>https://ankurnapa.github.io/2026/shelf-life-flavour-stability-trial-viz/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/shelf-life-flavour-stability-trial-viz/</guid>
      <pubDate>Fri, 12 Jun 2026 12:00:00 -0700</pubDate>
      <description>A beer&apos;s flavour stability is a story over time, not a single number — yet most breweries record it as a pass/fail. How to visualize forced-ageing and shelf-life trials as trajectories and small multiples, so staling becomes a path you can see, compare and predict.</description>
      <category>brewing-science</category><category>brewing-data-viz</category><category>quality-control</category><category>flavour-stability</category><category>data-visualization</category>
    </item>
    
    <item>
      <title>SPC That Actually Catches Drift: Capability, CUSUM and EWMA for Brewers</title>
      <link>https://ankurnapa.github.io/2026/spc-capability-cusum-ewma-brewing/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/spc-capability-cusum-ewma-brewing/</guid>
      <pubDate>Fri, 12 Jun 2026 11:50:00 -0700</pubDate>
      <description>The Shewhart control chart catches sudden spikes but is blind to slow drift — exactly how brewing quality usually fails. How process capability (Cp/Cpk), CUSUM and EWMA charts visualize the slow creep a basic control chart misses, in brewing terms.</description>
      <category>brewing-science</category><category>brewing-data-viz</category><category>quality-control</category><category>data-visualization</category><category>process-intelligence</category>
    </item>
    
    <item>
      <title>True-to-Target: Visualizing Whether a Batch Matches Its Brand Profile</title>
      <link>https://ankurnapa.github.io/2026/true-to-target-batch-brand-profile-viz/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/true-to-target-batch-brand-profile-viz/</guid>
      <pubDate>Fri, 12 Jun 2026 11:40:00 -0700</pubDate>
      <description>True-to-target (TTT) tasting asks a different question than &apos;is it in spec&apos; — does this batch still taste like the brand? How to visualize brand conformance with radar profiles, target bands and deviation tracking, so a panel&apos;s verdict becomes a picture the whole brewery reads.</description>
      <category>brewing-science</category><category>brewing-data-viz</category><category>sensory-analysis</category><category>quality-control</category><category>data-visualization</category>
    </item>
    
    <item>
      <title>Beyond the Control Chart: Data Visualizations Brewers Underuse</title>
      <link>https://ankurnapa.github.io/2026/brewing-viz-beyond-control-chart/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/brewing-viz-beyond-control-chart/</guid>
      <pubDate>Fri, 12 Jun 2026 11:30:00 -0700</pubDate>
      <description>Most brewery dashboards stop at the line chart and the control chart. This opens a series on the visualizations brewers rarely reach for — radar brand-profiles, CUSUM drift charts, shelf-life trajectories and Sankey balances — and how to match the chart to the brewing question.</description>
      <category>brewing-science</category><category>brewing-data-viz</category><category>data-visualization</category><category>quality-control</category><category>power-bi</category>
    </item>
    
    <item>
      <title>Vibe-Coding a Fermentation Tracker: A Brewer&apos;s Build Log</title>
      <link>https://ankurnapa.github.io/2026/vibe-coding-fermentation-dashboard-build-log/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/vibe-coding-fermentation-dashboard-build-log/</guid>
      <pubDate>Fri, 12 Jun 2026 11:20:00 -0700</pubDate>
      <description>A concrete, step-by-step build log of vibe-coding a small fermentation tracker with Claude Fable 5 — the actual prompts, the verify steps, the bug it introduced and how it got caught, so you can copy the loop for your own brewery tool.</description>
      <category>brewing-science</category><category>vibe-coding-brewers</category><category>vibe-coding</category><category>claude</category><category>building-with-ai</category>
    </item>
    
    <item>
      <title>What Claude Fable 5 Changes for Brewers Who Build</title>
      <link>https://ankurnapa.github.io/2026/claude-fable-5-for-brewers-who-build/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/claude-fable-5-for-brewers-who-build/</guid>
      <pubDate>Fri, 12 Jun 2026 11:10:00 -0700</pubDate>
      <description>Anthropic&apos;s latest model, Claude Fable 5, doesn&apos;t replace the brewer&apos;s judgement — it lowers the skill floor for building. What actually changes for a brewer making their own tools, what doesn&apos;t, and how to use it without fooling yourself.</description>
      <category>brewing-science</category><category>vibe-coding-brewers</category><category>claude</category><category>ai-tools</category><category>building-with-ai</category>
    </item>
    
    <item>
      <title>Vibe-Coding a Brewing Tool with Claude Fable 5</title>
      <link>https://ankurnapa.github.io/2026/vibe-coding-brewing-tool-claude-fable-5/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/vibe-coding-brewing-tool-claude-fable-5/</guid>
      <pubDate>Fri, 12 Jun 2026 11:00:00 -0700</pubDate>
      <description>Claude&apos;s latest model, Fable 5, makes it realistic for a brewer with no software background to build a small, genuinely useful brewery tool by describing what they want. Here&apos;s the honest loop, what Fable 5 changes, and where it still needs you.</description>
      <category>brewing-science</category><category>vibe-coding-brewers</category><category>vibe-coding</category><category>claude</category><category>building-with-ai</category>
    </item>
    
    <item>
      <title>Generative and Human-Centred AI for Brewers (with Google&apos;s PAIR Guidebook)</title>
      <link>https://ankurnapa.github.io/2026/brewer-generative-human-centered-ai-pair-guidebook/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/brewer-generative-human-centered-ai-pair-guidebook/</guid>
      <pubDate>Fri, 12 Jun 2026 10:30:00 -0700</pubDate>
      <description>The final stage of the brewer&apos;s AI roadmap — using generative AI well and building with it responsibly, grounded in Google&apos;s PAIR People + AI Guidebook and Microsoft Learn&apos;s responsible-AI resources, so what you make is something a brewer would actually trust.</description>
      <category>brewing-science</category><category>brewer-ai-roadmap</category><category>generative-ai</category><category>ai-tools</category><category>learning</category>
    </item>
    
    <item>
      <title>Your First Machine-Learning Model on Brewing Data (Free Courses)</title>
      <link>https://ankurnapa.github.io/2026/brewer-first-machine-learning-model-free-courses/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/brewer-first-machine-learning-model-free-courses/</guid>
      <pubDate>Fri, 12 Jun 2026 10:20:00 -0700</pubDate>
      <description>Stage 3 of the brewer&apos;s AI roadmap — the machine-learning concepts that matter, then building a first real model on your own brewery data, using free resources: Google&apos;s Machine Learning Crash Course, Kaggle Learn, Elements of AI and scikit-learn.</description>
      <category>brewing-science</category><category>brewer-ai-roadmap</category><category>machine-learning</category><category>learning</category><category>data-science</category>
    </item>
    
    <item>
      <title>Foundations First: Data Literacy and Python for Brewers (Free Resources)</title>
      <link>https://ankurnapa.github.io/2026/brewer-ai-foundations-data-python-free-resources/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/brewer-ai-foundations-data-python-free-resources/</guid>
      <pubDate>Fri, 12 Jun 2026 10:10:00 -0700</pubDate>
      <description>Stages 1 and 2 of the brewer&apos;s AI roadmap — data literacy with spreadsheets and Power BI, then Python — using only free, open resources: Microsoft Learn, Kaggle Learn and freeCodeCamp, with a real brewing project to learn against.</description>
      <category>brewing-science</category><category>brewer-ai-roadmap</category><category>learning</category><category>power-bi</category><category>data-science</category>
    </item>
    
    <item>
      <title>A Brewer&apos;s Step-by-Step Roadmap into AI (with Free Resources)</title>
      <link>https://ankurnapa.github.io/2026/brewer-ai-roadmap-step-by-step/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/brewer-ai-roadmap-step-by-step/</guid>
      <pubDate>Fri, 12 Jun 2026 10:00:00 -0700</pubDate>
      <description>A practical, five-stage learning path for a working brewer who wants to get into AI — data literacy, spreadsheets to Power BI, Python, machine learning and generative AI — built entirely on free, open resources like Microsoft Learn, Kaggle and Google&apos;s PAIR guidebook.</description>
      <category>brewing-science</category><category>brewer-ai-roadmap</category><category>learning</category><category>ai-tools</category><category>generative-ai</category>
    </item>
    
    <item>
      <title>The Translator: When the Winemaker Is Also the Power BI Developer</title>
      <link>https://ankurnapa.github.io/2026/winemaker-power-bi-fabric-developer/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/winemaker-power-bi-fabric-developer/</guid>
      <pubDate>Fri, 12 Jun 2026 09:20:00 -0700</pubDate>
      <description>What changes when one person has stood on the crush pad, run the ferments and pulled barrel samples — and also holds the Power BI and Microsoft Fabric certifications. Why the hybrid profile builds winery dashboards that survive a vintage, and the honest limits of being one.</description>
      <category>winemaking</category><category>process-intelligence</category><category>power-bi</category><category>microsoft-fabric</category><category>career</category>
    </item>
    
    <item>
      <title>The Translator: When the Brewer Is Also the Power BI Developer</title>
      <link>https://ankurnapa.github.io/2026/brewer-distiller-power-bi-fabric-developer/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/brewer-distiller-power-bi-fabric-developer/</guid>
      <pubDate>Fri, 12 Jun 2026 09:20:00 -0700</pubDate>
      <description>What changes when one person has stood at the mash tun, the spirit safe and the crush pad — and also holds the Power BI and Microsoft Fabric certifications. Why the hybrid profile builds production dashboards that survive, and the honest limits of being one.</description>
      <category>distilling-maturation</category><category>process-intelligence</category><category>power-bi</category><category>microsoft-fabric</category><category>career</category>
    </item>
    
    <item>
      <title>Why Power BI Dashboards Die in Wineries: The Domain Gap</title>
      <link>https://ankurnapa.github.io/2026/why-power-bi-dashboards-fail-wineries/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/why-power-bi-dashboards-fail-wineries/</guid>
      <pubDate>Fri, 12 Jun 2026 09:10:00 -0700</pubDate>
      <description>A skilled Power BI developer walks into a winery and a vintage later the dashboards are abandoned. Not a tooling failure — a translation failure: units, lot genealogy, vintage time and KPIs that don&apos;t match how winemakers actually think.</description>
      <category>winemaking</category><category>process-intelligence</category><category>power-bi</category><category>data-strategy</category><category>wine</category>
    </item>
    
    <item>
      <title>Why Power BI Dashboards Die in Distilleries and Breweries: The Domain Gap</title>
      <link>https://ankurnapa.github.io/2026/why-power-bi-dashboards-fail-distilleries/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/why-power-bi-dashboards-fail-distilleries/</guid>
      <pubDate>Fri, 12 Jun 2026 09:10:00 -0700</pubDate>
      <description>A skilled Power BI developer walks into a distillery and eighteen months later the dashboards are abandoned. Not a tooling failure — a translation failure: units, batch genealogy, process time and KPIs that don&apos;t match how distillers and brewers actually think.</description>
      <category>distilling-maturation</category><category>process-intelligence</category><category>power-bi</category><category>data-strategy</category><category>whiskey</category>
    </item>
    
    <item>
      <title>Descriptive, Diagnostic, Predictive, Prescriptive: The Four Analytics in a Winery</title>
      <link>https://ankurnapa.github.io/2026/four-types-data-analytics-winery-fabric/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/four-types-data-analytics-winery-fabric/</guid>
      <pubDate>Fri, 12 Jun 2026 09:00:00 -0700</pubDate>
      <description>The four classic types of data analytics translated into winemaking language — yield per hectare, fermentation curves, wine faults, blend trials, barrel ageing — and where Microsoft Fabric&apos;s lakehouse, real-time intelligence and Direct Lake actually fit each one.</description>
      <category>winemaking</category><category>process-intelligence</category><category>data-strategy</category><category>microsoft-fabric</category><category>wine</category>
    </item>
    
    <item>
      <title>Descriptive, Diagnostic, Predictive, Prescriptive: The Four Analytics in a Distillery</title>
      <link>https://ankurnapa.github.io/2026/four-types-data-analytics-distillery-fabric/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/four-types-data-analytics-distillery-fabric/</guid>
      <pubDate>Fri, 12 Jun 2026 09:00:00 -0700</pubDate>
      <description>The four classic types of data analytics translated into distillery language — spirit yield, cut points, the angel&apos;s share, cask allocation — and where Microsoft Fabric&apos;s lakehouse, real-time intelligence and Direct Lake actually fit each one.</description>
      <category>distilling-maturation</category><category>process-intelligence</category><category>data-strategy</category><category>microsoft-fabric</category><category>whiskey</category>
    </item>
    
    <item>
      <title>Where a Distillery Actually Starts with AI</title>
      <link>https://ankurnapa.github.io/2026/where-a-distillery-starts-with-ai/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/where-a-distillery-starts-with-ai/</guid>
      <pubDate>Thu, 11 Jun 2026 09:00:00 -0700</pubDate>
      <description>The capstone of the foundations series: not with a tool, but with one measured record. A distiller&apos;s order of operations — data, then dashboards, then machine learning, then generative AI — and the honest reason most AI projects fail before they begin.</description>
      <category>distilling-maturation</category><category>distilling-ai-foundations</category><category>ai-adoption</category><category>data-strategy</category><category>whiskey</category>
    </item>
    
    <item>
      <title>The Heat Map in Brewing: Three Beer Use Cases</title>
      <link>https://ankurnapa.github.io/2026/heat-map-beer-use-cases/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/heat-map-beer-use-cases/</guid>
      <pubDate>Thu, 11 Jun 2026 08:00:00 -0700</pubDate>
      <description>When two categories meet — hour by day, style by month, account by SKU — a heat map shows intensity as colour, so patterns jump out of a grid. Three beer use cases and the colour-scale rules that keep it honest.</description>
      <category>brewing-science</category><category>beer-chart-guide</category><category>data-visualization</category><category>sales-intelligence</category><category>commercial-planning</category>
    </item>
    
    <item>
      <title>The Box Plot in Brewing: Three Beer Use Cases</title>
      <link>https://ankurnapa.github.io/2026/box-plot-beer-use-cases/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/box-plot-beer-use-cases/</guid>
      <pubDate>Thu, 11 Jun 2026 07:50:00 -0700</pubDate>
      <description>When you need to compare the spread and outliers of many groups at once, the box plot is unbeatable. Three beer use cases (consistency by brand, yield by shift, sensory spread by taster) and how to read the box.</description>
      <category>brewing-science</category><category>beer-chart-guide</category><category>data-visualization</category><category>quality-control</category><category>sensory-analysis</category>
    </item>
    
    <item>
      <title>The Histogram in Brewing: Three Beer Use Cases</title>
      <link>https://ankurnapa.github.io/2026/histogram-beer-use-cases/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/histogram-beer-use-cases/</guid>
      <pubDate>Thu, 11 Jun 2026 07:40:00 -0700</pubDate>
      <description>Averages hide the story; a histogram shows the whole distribution — the spread, the shape, the second peak. Three beer use cases (fill-volume distribution, ABV consistency, sensory score spread) and the bin-width trap.</description>
      <category>brewing-science</category><category>beer-chart-guide</category><category>data-visualization</category><category>quality-control</category><category>fermentation</category>
    </item>
    
    <item>
      <title>The Bubble Chart in Brewing: Three Beer Use Cases</title>
      <link>https://ankurnapa.github.io/2026/bubble-chart-beer-use-cases/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/bubble-chart-beer-use-cases/</guid>
      <pubDate>Thu, 11 Jun 2026 07:30:00 -0700</pubDate>
      <description>A scatter plot with a third variable encoded as bubble size — show volume, value and growth together. Three beer use cases (portfolio maps, account prioritisation, market opportunity) and why size can mislead.</description>
      <category>brewing-science</category><category>beer-chart-guide</category><category>data-visualization</category><category>commercial-planning</category><category>sales-intelligence</category>
    </item>
    
    <item>
      <title>The Scatter Plot in Brewing: Three Beer Use Cases</title>
      <link>https://ankurnapa.github.io/2026/scatter-plot-beer-use-cases/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/scatter-plot-beer-use-cases/</guid>
      <pubDate>Thu, 11 Jun 2026 07:20:00 -0700</pubDate>
      <description>When the question is &apos;are these two things related,&apos; the scatter plot is the answer — each point a batch, account or beer. Three beer use cases (process correlations, account value vs effort, recipe trade-offs) and the correlation-isn&apos;t-causation rule.</description>
      <category>brewing-science</category><category>beer-chart-guide</category><category>data-visualization</category><category>quality-control</category><category>sales-intelligence</category>
    </item>
    
    <item>
      <title>The Area and Stacked Area Chart in Brewing: Three Beer Use Cases</title>
      <link>https://ankurnapa.github.io/2026/area-chart-beer-use-cases/</link>
      <guid isPermaLink="true">https://ankurnapa.github.io/2026/area-chart-beer-use-cases/</guid>
      <pubDate>Thu, 11 Jun 2026 07:10:00 -0700</pubDate>
      <description>An area chart is a line chart with the space below filled — good for cumulative totals and, stacked, for how a composition shifts over time. Three beer use cases and when a line or stacked bar is the better call.</description>
      <category>brewing-science</category><category>beer-chart-guide</category><category>data-visualization</category><category>commercial-planning</category><category>sales-forecasting</category>
    </item>
    
  </channel>
</rss>
