<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Forecasting on Harshvardhan</title>
    <link>/categories/forecasting/</link>
    <description>Recent content in Forecasting on Harshvardhan</description>
    <generator>Hugo</generator>
    <language>en</language>
    <lastBuildDate>Sat, 18 Oct 2025 00:00:00 +0000</lastBuildDate>
    <atom:link href="/categories/forecasting/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Enterprise-Scale Machine Learning for Demand Forecasting</title>
      <link>/foresight-paper/</link>
      <pubDate>Sat, 18 Oct 2025 00:00:00 +0000</pubDate>
      <guid>/foresight-paper/</guid>
      <description>Our HP Inc. forecasting framework was featured in &lt;em&gt;Foresight: The International Journal of Applied Forecasting&lt;/em&gt; (Issue 79, 2025) and recognized as a finalist at the International Institute of Forecasting’s Foresight Conference. &#xA;&lt;a href=&#34;https://www.harsh17.in/docs/papers/HP_Foresight_Paper.pdf&#34; target=&#34;_blank&#34; rel=&#34;noopener&#34;&gt;🔗 PDF&lt;/a&gt;</description>
    </item>
  </channel>
</rss>
