Juniper's Marvis Minis win 2025 Tech Innovation CUBEd Award
Juniper's Marvis Minis Win 2025 Tech Innovation CUBEd Award
In this video, Principal Analyst Bob Laliberte from theCUBE Research sits down with Selena Mosley from Juniper Networks to discuss Marvis Minis, which earned Juniper the 2025 Tech Innovation CUBEd Award for Most Innovative Networking Solution. They explore how Marvis Minis shift network management from reactive to proactive, preventing issues before they arise and optimizing network performance.
You’ll learn
What Marvis Minis are
How Marvis Minis prevent network issues
How Marvis Minis’ integration with Mist AI work
Who is this for?
Host
Guest speakers
Transcript
0:00 hi I'm here with Selena Mosley from
0:02 Juniper Networks and congratulations on
0:04 your win Juniper won the most Innovative
0:07 networking solution award at the
0:09 inaugural 2025 Tech Innovation cubed
0:12 awards for Marvis minis can you tell us
0:15 about Marvis Minis and what makes them
0:17 so Innovative thanks Bob Marvis minis
0:20 are designed to Shift Network management
0:22 from reactive to proactive they're
0:24 digital experienced twins that simulate
0:25 user connections to detect potential
0:27 issues before they affect users pray
0:30 with M AI Marvis validates
0:32 configurations and resolves problems
0:33 early awesome so it's not just about
0:36 fixing issues but preventing them
0:38 exactly Marvis minis constantly learn
0:41 and simulate real user experiences to
0:43 detect anomalies and keep the network
0:45 optimized all with minimal it
0:47 intervention excellent and if I remember
0:49 correctly it's fully integrated with
0:51 misted AI so there's no extra Hardware
0:53 or software needed that's right it's
0:55 included with the Marva subscription it
0:57 uses realtime data to power Mist AI
1:00 proactively resolving issues and
1:01 continuously improving Network
1:03 performance that really sounds like a
1:05 GameChanger congratulations again thanks
1:07 Bob we're excited about how Marvis is
1:09 making networks more autonomous reliable
1:11 and intelligent solving problems before
1:13 they even arise
