Agentic AI Tackles Network Outage Prevention Challenges
May 2, 2025 AI TodayNetBrain CEO Lingping Gao on How Agentic AI Decodes Intent to Automate Diagnosis.
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NetBrain CEO Lingping Gao on How Agentic AI Decodes Intent to Automate Diagnosis.
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Network automation is about as quintessentially enterprise as it gets. With a mix of large language models and AI agents, NetBrain helps companies like Nike and CVS prevent network outages and uncover risks, analyzing massive amounts of data to see…
Gartner recently released a new report “Key Practices to Reduce Network Downtime.” NetBrain Technologies included several of the stats in a blog post approved by Gartner.
The new ACE+ program gives partners everything they need to run automated network assessments for customers quickly and easily, and combines cloud-hosted deployment flexibility with strong license scalability, including free enterprise support, training, and access to NetBrain’s full-powered automation and…
NetBrain maximizes network uptime and operational efficiency with its innovative intent-based no-code automation and GenAI technology for problem diagnosis.
The all-in-one channel program includes cloud and desktop licensing options, plus a library of pre-built automations with free, full-platform access, allowing partners to rapidly generate customer network assessments and accelerate sales cycles
Across industries, scalable networks have become essential to business growth. But without proper planning, the scaling process can feel like patching a leaky pipe—constantly reacting to problems instead of building for the future. Missteps such as neglecting foundational security, mismanaging…
Network automation offers the promise of greater efficiency, faster deployments and fewer manual errors—but it’s not without its challenges. Many teams dive in with good intentions, only to encounter roadblocks that stall progress, introduce complexity or even create security gaps.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s…
What's in the future for APM and Observability?