<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>2E Insights</title><description>Working notes from 2E on oil and gas systems, maintenance data, automation, predictive maintenance, enterprise AI, and digital transformation.</description><link>https://2epro.com/</link><language>en-us</language><item><title>The operational foundation for AI adoption</title><link>https://2epro.com/insights/operational-readiness-for-ai/</link><guid isPermaLink="true">https://2epro.com/insights/operational-readiness-for-ai/</guid><description>When a few people run far ahead of the operation around them, their output enters processes that are not set up to handle it. What that costs, and what readiness actually requires.</description><pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate></item><item><title>The asset data foundation for AI in maintenance and reliability</title><link>https://2epro.com/insights/asset-data-foundation-for-ai/</link><guid isPermaLink="true">https://2epro.com/insights/asset-data-foundation-for-ai/</guid><description>There are real gains available from AI in maintenance and reliability. Most pilots stall on the asset and item data underneath them, not on the models.</description><pubDate>Wed, 05 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Why preventive maintenance programs fall short</title><link>https://2epro.com/insights/pm-dependency-chain/</link><guid isPermaLink="true">https://2epro.com/insights/pm-dependency-chain/</guid><description>A PM program can only schedule what the records describe. When maintenance falls short the cause is usually the asset and item data underneath it, not the maintenance strategy.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate></item></channel></rss>