NOW in 60: XAI series - Mist AI ML
AIX Series: Mist AI ML in 60 Seconds
In just 60 seconds, discover how Juniper's AI-Native Networking Platform leverages AI and machine learning (ML) techniques like decision trees, reinforcement learning, and mutual information to optimize network performance and elevate user experiences. These sophisticated technologies help improve coverage, capacity, and connectivity by continuously adapting to dynamic conditions.
You’ll learn
How decision trees help identify common network issues like faulty cables and AP health
How radio resource management (RRM) allows the network to automatically adjust settings in real time
How mutual information is used to understand which network features predict success or failure in service level expectations
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Transcript
0:00 [Music]
0:06 Juniper's AI native networking platform
0:08 leverages a variety of AI and machine
0:11 learning techniques to optimize Network
0:13 performance and Elevate user experiences
0:16 for example decision trees help identify
0:18 common network issues like faulty cables
0:21 and AP Health these decision trees
0:23 proactively isolate faults by asking the
0:25 right questions and splitting data to
0:27 reach accurate predictions we also
0:30 employ reinforcement learning for radio
0:33 Resource Management RRM this allows the
0:36 network to automatically adjust settings
0:38 in real time optimizing coverage
0:40 capacity and connectivity by
0:42 continuously learning the system ensures
0:44 the best possible wireless service even
0:47 in Dynamic conditions and we also use
0:49 Mutual information to understand which
0:52 network features predict success or
0:54 failure in service level expectations
0:56 known as SLE this helps pinpoint
1:00 critical factors that impact Network
1:01 performance these AI ml techniques
1:04 ensure seamless reliable Network
1:06 experiences giving it teams powerful
1:09 tools to efficiently manage and optimize
1:12 Network performance that's missed Ai and
1:14 ml in 60 Seconds
1:18 [Music]