{"id":21818,"date":"2026-02-07T01:16:13","date_gmt":"2026-02-06T16:16:13","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=21818"},"modified":"2026-02-07T01:16:13","modified_gmt":"2026-02-06T16:16:13","slug":"making-ready-for-scale-with-netop-ai","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=21818","title":{"rendered":"Making ready for Scale with NetOp AI"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<hr\/>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"lazy lazy-hidden alignleft wp-image-485612\" data-lazy-type=\"image\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/02\/Bibi-image-300x300.jpg\" alt=\"\" width=\"175\" height=\"175\"><noscript><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-485612\" src=\"https:\/\/blogs.cisco.com\/gcs\/ciscoblogs\/1\/2026\/02\/Bibi-image-300x300.jpg\" alt=\"\" width=\"175\" height=\"175\"><\/noscript><\/strong><\/p>\n<p>\u00a0<\/p>\n<p>Visitor contributor:<em> Bibi Rosenbach is the CEO and Co-Founding father of NetOp AI, the place he leads the corporate\u2019s imaginative and prescient for AI-driven community intelligence and automation of enterprise community operations. With deep expertise in enterprise infrastructure, community operations and ML analytics, Bibi works intently with Cisco companions and world enterprises to evaluate and advance community readiness for large-scale AI deployments.<\/em><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-69ec2edae8bf0\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" aria-label=\"item-69ec2edae8bf0\"  type=\"checkbox\" id=\"item-69ec2edae8bf0\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aireviewirush.com\/?p=21818\/#AI_Enabled_Community_Modernization\" title=\"AI Enabled Community Modernization\">AI Enabled Community Modernization<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=21818\/#Finest_Practices_for_Supporting_AI-Pushed_Community_Environments\" title=\"Finest Practices for Supporting AI-Pushed Community Environments\">Finest Practices for Supporting AI-Pushed Community Environments<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=21818\/#Making_use_of_These_Practices_with_NetOp_AI\" title=\"Making use of These Practices with NetOp AI\">Making use of These Practices with NetOp AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=21818\/#Seamless_Community_Discovery_and_Evaluation\" title=\"Seamless Community Discovery and Evaluation\">Seamless Community Discovery and Evaluation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=21818\/#MSP_Assist\" title=\"MSP Assist\">MSP Assist<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aireviewirush.com\/?p=21818\/#Able_to_Take_Motion\" title=\"Able to Take Motion?\">Able to Take Motion?<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"AI_Enabled_Community_Modernization\"><\/span><strong>AI Enabled Community Modernization<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>IT groups are transferring shortly to help the quickly evolving community panorama required to help present and upcoming AI-based initiatives. As organizations speed up AI adoption, unsupported {hardware} creates operational danger, efficiency degradation, and safety publicity making proactive modernization a foundational step in the direction of AI-Readiness.<\/p>\n<p>Managing distributed networks that help AI workloads introduces a number of frequent challenges: sustaining constant visibility throughout hybrid environments, figuring out infrastructure dangers earlier than they affect efficiency, and prioritizing modernization efforts amid rising complexity. Finest practices more and more emphasize steady evaluation, automation, and standardized reporting to assist groups make knowledgeable choices at scale.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Finest_Practices_for_Supporting_AI-Pushed_Community_Environments\"><\/span><strong>Finest Practices for Supporting AI-Pushed Community Environments<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Organizations getting ready their networks for AI generally concentrate on just a few key practices:<\/p>\n<ul>\n<li><strong>Steady infrastructure evaluation<\/strong> to establish outdated {hardware}, unsupported software program, and configuration gaps that will affect efficiency or safety.<\/li>\n<li><strong>Finish-to-end visibility<\/strong> throughout LAN, WLAN, WAN, SD-WAN, and cloud-connected environments to floor hidden points and recurring patterns.<\/li>\n<li><strong>Standardized, executive-ready reporting<\/strong> allows sooner decision-making and clearer prioritization with out counting on guide evaluation or fragmented instruments.<\/li>\n<li><strong>Automation and analytics<\/strong> to scale back operational overhead and permit IT groups to concentrate on remediation relatively than information assortment.<\/li>\n<\/ul>\n<p>These approaches assist organizations transfer from reactive troubleshooting to proactive community optimization\u2014an important shift as AI workloads scale.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Making_use_of_These_Practices_with_NetOp_AI\"><\/span><strong>Making use of These Practices with NetOp AI<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>NetOp AI helps these greatest practices by offering AI-powered community evaluation reporting capabilities designed for scale. Its real-time community well being, efficiency and safety studies assist floor infrastructure dangers reminiscent of finish of life tools (LDoS), software program model vulnerabilities and \u00a0efficiency gaps throughout numerous environments<\/p>\n<p>By automating information assortment and evaluation, NetOp allows groups to generate constant, executive-ready assessments with out guide engineering or the necessity to sew collectively a number of dashboards, AI-based correlation and baseline studying assist be certain that significant, throughout websites and time home windows.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Seamless_Community_Discovery_and_Evaluation\"><\/span><strong>Seamless Community Discovery and Evaluation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Via integration with Cisco Networking APIs NetOp can robotically uncover community gadgets and seamlessly gather a complete dataset throughout Meraki, Catalyst, and blended environments. This integration additionally empowers Cisco companions to offer a frictionless onboarding course of inside minutes that has been fastidiously designed to be intuitive and simple, whereas upholding enterprise-grade safety requirements. Companions can establish and high-light {hardware} lifecycle standing, efficiency, safety vulnerabilities (together with LDoS and non-Cisco finish of life tools), and configuration gaps inside a single report.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"MSP_Assist\"><\/span><strong>MSP Assist<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>For Cisco companions which can be additionally managed service suppliers, NetOp helps multi-tenancy. MSPs generally leverage NetOp AI<\/p>\n<ol>\n<li>internally to scale back vulnerabilities, optimize operations and prioritize assets<\/li>\n<li>as a managed service to dynamically assess buyer networks and supply ongoing help to proactively improve up-time and community optimization<\/li>\n<li>as a reseller to evaluate end-customer community well being and establish vulnerabilities together with LDoS or different end-of-life tools<\/li>\n<\/ol>\n<h2><span class=\"ez-toc-section\" id=\"Able_to_Take_Motion\"><\/span><strong>Able to Take Motion?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>To be taught extra about how this strategy can help community modernization and AI readiness, <strong>take a look at the NetOp AI Community Evaluation Reporting answer on Cisco Market<\/strong><\/p>\n<p>\u00a0<\/p>\n<hr\/>\n<p>\u00a0<\/p>\n<p class=\"has-text-align-center\" style=\"text-align: center;\" data-ttstextid=\"33\">We\u2019d love to listen to what you assume. Ask a Query, Remark Beneath, and Keep Related with #CiscoPartners on social!<\/p>\n<p class=\"has-text-align-center\" style=\"text-align: center;\" data-ttstextid=\"34\"><a href=\"https:\/\/www.facebook.com\/CiscoPartners?dtid=oblgzzz001087\" target=\"_blank\" rel=\"noopener noreferrer\">Cisco Companions Fb<\/a>\u00a0\u00a0| \u00a0<a href=\"https:\/\/twitter.com\/CiscoPartners?dtid=oblgzzz001087\" target=\"_blank\" rel=\"noopener noreferrer\">@CiscoPartners X<\/a>\u00a0\u00a0| \u00a0<a href=\"https:\/\/www.linkedin.com\/showcase\/cisco-partners?dtid=oblgzzz001087\" target=\"_blank\" rel=\"noopener noreferrer\">Cisco Companions LinkedIn<\/a><\/p>\n<\/p><\/div>\n<p><script async src=\"\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><br \/>\n<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0 Visitor contributor: Bibi Rosenbach is the CEO and Co-Founding father of NetOp AI, the place he leads the corporate\u2019s imaginative and prescient for AI-driven community intelligence and automation of enterprise community operations. With deep expertise in enterprise infrastructure, community operations and ML analytics, Bibi works intently with Cisco companions and world enterprises to evaluate [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":21820,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-21818","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cloud-computing"},"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/21818","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21818"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/21818\/revisions"}],"predecessor-version":[{"id":21819,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/21818\/revisions\/21819"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/21820"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}