{"id":8795,"date":"2025-10-29T14:20:58","date_gmt":"2025-10-29T21:20:58","guid":{"rendered":"https:\/\/selectoraidev.wpengine.com\/?post_type=resources&p=8795"},"modified":"2026-05-13T07:04:42","modified_gmt":"2026-05-13T14:04:42","slug":"the-ai-behind-networking-by-surya-nimmagadda-ai-for-network-leaders-powered-by-selector","status":"publish","type":"resources","link":"https:\/\/www.selector.ai\/ja\/resource\/the-ai-behind-networking-by-surya-nimmagadda-ai-for-network-leaders-powered-by-selector\/","title":{"rendered":"The AI Behind Networking by Surya Nimmagadda: AI for Network Leaders Powered by Selector"},"content":{"rendered":"\n
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The AI Behind Networking by Surya Nimmagadda<\/h4>\n\n\n\n

Selector\u2019s Chief Data Scientist, Surya Nimmagadda, <\/strong>opened by asking the question many customers wonder: \u201cWhere\u2019s the AI in Selector AI?\u201d The discussion explored how real-world AI in networking isn\u2019t about magic models\u2014it\u2019s about blending human expertise with machine intelligence to achieve reliable, explainable outcomes. Surya walked through how Selector builds this balance: scalable data ingestion, contextual data enrichment, self-supervised learning for metrics and logs, unsupervised clustering for log patterns, and graph-based correlation and causation to reveal true root causes. Finally, he explained how LLMs and MCP layer on top\u2014not to replace human reasoning\u2014but to summarize insights in natural language and automate trusted workflows safely.<\/p>\n\n\n\n

What You\u2019ll Learn<\/strong>:<\/h5>\n\n\n\n
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<\/path><\/svg><\/span>Human + AI Partnership:<\/strong> Why operational AI must combine machine intelligence with human wisdom and validation.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>Data-Centric AI:<\/strong> How Selector prioritizes clean, contextual data over giant models to drive accurate, explainable outcomes.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>Multi-Model Architecture:<\/strong> How metrics, logs, correlations, and causation models interact to identify root causes and predict impact.<\/span><\/div>\n\n\n\n
<\/path><\/svg><\/span>MCP + LLM Integration:<\/strong> How natural-language interfaces and governed workflows make AI accessible and safe for network engineers.<\/span><\/div>\n<\/div><\/div>\n\n\n\n

If you wish to watch the entire day of AI for Network Leaders click here. <\/a><\/p>\n<\/div>\n\n\n\n

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Watch the recording here<\/h4><\/div>\n\n\n\n