<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News on DataAgentX</title><link>https://e343c64b.dataagentx.pages.dev/en/news/</link><description>Recent content in News on DataAgentX</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sun, 25 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://e343c64b.dataagentx.pages.dev/en/news/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Agent Weekly: Implementation Challenges at DACon26</title><link>https://e343c64b.dataagentx.pages.dev/en/news/20261025-data-agent-weekly-2026-10-24/</link><pubDate>Sun, 25 Oct 2026 00:00:00 +0000</pubDate><guid>https://e343c64b.dataagentx.pages.dev/en/news/20261025-data-agent-weekly-2026-10-24/</guid><description>&lt;p&gt;&lt;a href="https://e343c64b.dataagentx.pages.dev/images/articles/weekly-dacon26/core-en.svg"&gt;&lt;img src="https://e343c64b.dataagentx.pages.dev/images/articles/weekly-dacon26/core-en.svg" alt="Six Engineering Challenges in Implementing DACon26"&gt;&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;Covering October 18–24, 2026 (Beijing Time). This issue focuses on six engineering challenges distilled from 19 sessions at the Beijing leg of DACon26, with other developments organized by product and open-source categories.&lt;/p&gt;&#10;&lt;p&gt;On October 23–24, DataFun hosted the Beijing leg of DACon26. The six issues below are synthesized from relevant official agenda items; the commentary in this article represents editorial technical analysis. Session titles used here are abbreviated; for full official titles and speakers, refer to the DataFun official agenda link in the Sources section at the end.&lt;/p&gt;</description></item><item><title>Data Agent Weekly: What Are Teams Globally Building?</title><link>https://e343c64b.dataagentx.pages.dev/en/news/20261018-data-agent-weekly-2026-10-17/</link><pubDate>Sun, 18 Oct 2026 00:00:00 +0000</pubDate><guid>https://e343c64b.dataagentx.pages.dev/en/news/20261018-data-agent-weekly-2026-10-17/</guid><description>&lt;p&gt;&lt;a href="https://e343c64b.dataagentx.pages.dev/images/articles/weekly-2026-10-17/core-en.svg"&gt;&lt;img src="https://e343c64b.dataagentx.pages.dev/images/articles/weekly-2026-10-17/core-en.svg" alt="Layered Progress from Ten Weekly Updates"&gt;&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;Covering October 11–17, 2026 (Beijing Time). This week begins with four domestic developments before moving to global progress.&lt;/p&gt;&#10;&lt;p&gt;Synthesizing these updates, ten signals point in the same direction: &lt;strong&gt;The competition for Data Agents is shifting from &amp;ldquo;can it answer&amp;rdquo; to &amp;ldquo;can it participate in work continuously and reliably.&amp;rdquo;&lt;/strong&gt; This manifests as reusable applications, inheritable context, semantics preceding execution, and verification built into workflows.&lt;/p&gt;&#10;&lt;h2 id="domestic-turning-analysis-paths-into-reusable-assets"&gt;Domestic: Turning Analysis Paths into Reusable Assets&lt;/h2&gt;&#10;&lt;p&gt;&lt;strong&gt;01 Alibaba Cloud Quick BI: Attribution Logic and Asset Reuse&lt;/strong&gt; (10/13)&lt;/p&gt;</description></item><item><title>How Kuaishou Scaled Its Data Agent Beyond 10,000 Weekly Users</title><link>https://e343c64b.dataagentx.pages.dev/en/news/20260920-kuaishou-data-agent/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0000</pubDate><guid>https://e343c64b.dataagentx.pages.dev/en/news/20260920-kuaishou-data-agent/</guid><description>&lt;p&gt;&lt;a href="https://e343c64b.dataagentx.pages.dev/images/articles/kuaishou-data-agent/core-en.svg"&gt;&lt;img src="https://e343c64b.dataagentx.pages.dev/images/articles/kuaishou-data-agent/core-en.svg" alt="Kuaishou Data Agent scaling flywheel"&gt;&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;A data agent reaching more than 10,000 weekly active users matters because it has moved into data production, business diagnosis, and recurring delivery—not because a chat box received more prompts. Kuaishou’s September 19, 2026 technical presentation described a progression from bounded workflows to a unified agent entry point.&lt;/p&gt;&#10;&lt;p&gt;The presentation reported more than 10,000 weekly users, over 80 percent penetration in core data-analysis and data-operations roles, more than 2,000 Skills, and over 600,000 evaluation records. These are company-reported snapshots, not independently audited results or promises that transfer to another organization. The system relationships behind the numbers are more useful than the headline itself.&lt;/p&gt;</description></item><item><title>OpenAI Data Agent Connects Enterprise Data, Dashboards, and Action</title><link>https://e343c64b.dataagentx.pages.dev/en/news/20260911-openai-data-agent-release/</link><pubDate>Fri, 11 Sep 2026 00:00:00 +0000</pubDate><guid>https://e343c64b.dataagentx.pages.dev/en/news/20260911-openai-data-agent-release/</guid><description>&lt;p&gt;&lt;a href="https://e343c64b.dataagentx.pages.dev/images/articles/openai-data-agent-release/core-en.svg"&gt;&lt;img src="https://e343c64b.dataagentx.pages.dev/images/articles/openai-data-agent-release/core-en.svg" alt="OpenAI Data Agent workflow from business question to approved action"&gt;&lt;/a&gt;&lt;/p&gt;&#10;&lt;p&gt;On September 10, 2026, OpenAI launched Data Agent in ChatGPT Work. The release is more than a Text-to-SQL chat interface: it connects enterprise sources, business context, analytical workflows, interactive dashboards, and approved actions in one conversational path.&lt;/p&gt;&#10;&lt;p&gt;The competitive question shifts from whether a model can write a query to whether more employees can complete reviewable data work under existing organizational controls.&lt;/p&gt;</description></item></channel></rss>