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Home » Arrcus: Four Use Cases for AI in Networking

Arrcus: Four Use Cases for AI in Networking

August 20, 2024
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How can AI and ML revolutionize network operations?

Sanjay Kumar, VP of Products and Marketing from Arrcus gives several examples:

– AI/ML enables anomaly detection, providing recommendations and closed-loop remediation for unusual network patterns

– Advanced technologies enhance root cause analysis, capacity planning, and network design based on traffic demands

– AI/ML improves security posture by detecting unusual patterns in real-time and automates network operations, reducing costs

Want to be involved our video series? Contact [email protected]

Check out our #AI in Networking report and more videos here: https://ngi.fyi/ainetwork24yt

AvidThink analysts Archana Khetan and Roy Chua discussed their findings in the report: “Pipe Dreams and AI Realities: Networking’s Midlife Crisis” on a recent fireside chat. Watch the recording: https://youtu.be/YdC_tXzCRvg

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Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

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