<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/feed.rss.xml" type="text/xsl" media="screen"?>
<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Ivo Andreev</title>
    <description/>
    <link>https://speakerdeck.com/ivoandreev</link>
    <atom:link rel="self" type="application/rss+xml" href="https://speakerdeck.com/ivoandreev.rss"/>
    <lastBuildDate>2026-10-10 17:10:22 -0400</lastBuildDate>
    <item>
      <title>Super Intelligence-Native IoT Operational Insights</title>
      <description>The explosion of telemetry data from industrial systems, apps, and connected devices is creating new challenges in storing, processing and extracting intelligence from high-volume time-series data. InfluxDB 3, the latest generation of one of the top time-series databases, is open source and built for modern AI-driven workloads. It combines scalable telemetry storage with real-time querying, feature extraction, ML and AI agent data access for operational intelligence through large scale telemetry analysis. This session explores how InfluxDB 3 becomes a foundation for AI-driven operational intelligence by combining time-series analytics with AI agents through MCP. Agents can leverage the context, structure, and analytical capabilities of the time-series platform to investigate operational behavior, correlate events across systems, identify anomalies, extract engineering insights, and assist teams in faster root-cause analysis and decision-making.
</description>
      <media:content url="https://files.speakerdeck.com/presentations/505496afd58c4e18aea1453146e68332/preview_slide_0.jpg?40867207" type="image/jpeg" medium="image"/>
      <content:encoded>The explosion of telemetry data from industrial systems, apps, and connected devices is creating new challenges in storing, processing and extracting intelligence from high-volume time-series data. InfluxDB 3, the latest generation of one of the top time-series databases, is open source and built for modern AI-driven workloads. It combines scalable telemetry storage with real-time querying, feature extraction, ML and AI agent data access for operational intelligence through large scale telemetry analysis. This session explores how InfluxDB 3 becomes a foundation for AI-driven operational intelligence by combining time-series analytics with AI agents through MCP. Agents can leverage the context, structure, and analytical capabilities of the time-series platform to investigate operational behavior, correlate events across systems, identify anomalies, extract engineering insights, and assist teams in faster root-cause analysis and decision-making.
</content:encoded>
      <pubDate>Sat, 10 Oct 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/ivoandreev/si-native-super-intelligent-iot-operational-insights</link>
      <guid>https://speakerdeck.com/ivoandreev/si-native-super-intelligent-iot-operational-insights</guid>
    </item>
    <item>
      <title>Operational Intelligence with AI Agents and InfluxDB 3 MCP</title>
      <description>Beyond dashboards, beyond reports. The future of industrial and digital systems is moving from monitoring of what happens to understanding it and root cause analysis. By combining a modern open time series DB and AI agents, organizations can build systems that analyze their own behavior and explain themselves.
This session explores how InfluxDB 3 - the most popular time series DB is open source and supporting operational intelligence out of the box with MCP, AI agent reasoning and relevant recommendations.
</description>
      <media:content url="https://files.speakerdeck.com/presentations/0705bc83f8474233b523cd9b0417cbcd/preview_slide_0.jpg?40867072" type="image/jpeg" medium="image"/>
      <content:encoded>Beyond dashboards, beyond reports. The future of industrial and digital systems is moving from monitoring of what happens to understanding it and root cause analysis. By combining a modern open time series DB and AI agents, organizations can build systems that analyze their own behavior and explain themselves.
This session explores how InfluxDB 3 - the most popular time series DB is open source and supporting operational intelligence out of the box with MCP, AI agent reasoning and relevant recommendations.
</content:encoded>
      <pubDate>Sat, 12 Sep 2026 00:00:00 -0400</pubDate>
      <link>https://speakerdeck.com/ivoandreev/operational-intelligence-with-ai-agents-and-influxdb-3-mcp</link>
      <guid>https://speakerdeck.com/ivoandreev/operational-intelligence-with-ai-agents-and-influxdb-3-mcp</guid>
    </item>
  </channel>
</rss>
