Juniper Networks CEO Rami Rahim at Mobile World Live 2025 | Mobile World Congress

Juniper Networks CEO Rami Rahim at Mobile World Live 2025 | Mobile World Congress
Hear from Rami Rahim, CEO of Juniper Networks, as he discusses our AI-Native Networking platform, and differentiates between AI for Networking and Networking for AI.
You’ll learn
The importance of AI in networking
Potential challenges that come with integrating AI into networks
The role of machine learning in optimizing network performance
Who is this for?
Experience More
Transcript
0:00 [Music]
0:07 hello I'm here at mwc 2025 with Mobile
0:11 World live and joining me I have Ramy
0:13 Rahim he's CEO of Juniper Networks Ramy
0:17 thank you for joining us thank you Dave
0:18 it's great to be here so Juna talks
0:20 about AI for networks and it also talks
0:23 about networks for AI so tell us what
0:25 the difference is yeah first I have to
0:27 say the pace of change of innovation now
0:30 in networks is just stunning it's an
0:32 exciting time to be in it it's an
0:34 exciting time to be in networks um you
0:37 know it almost reminds me of the early
0:39 days of when the internet was just
0:41 booming and networks were Center Stage
0:43 well networks are again Center Stage
0:45 because so much of the AI boom depends
0:47 on what's Happening the innovation in
0:48 this area and you're right we're looking
0:50 at the opportunity in two different ways
0:52 there is AI for networks and that's all
0:54 about leveraging artificial intelligence
0:56 to make operations day-to-day operations
0:59 of Networks far easier for Network
1:01 operators it's also about delighting the
1:03 end user with a robust experience uh but
1:07 then the second opportunity is about
1:09 networks for AI and that's about making
1:11 artificial intelligence any application
1:14 artificial intelligence possible to
1:16 begin with here of course AI just
1:18 doesn't happen out of thin air you need
1:19 to have reliable resilient high
1:22 performance networks that connect tens
1:24 hundreds thousands that these days
1:27 hundreds of thousands and soon millions
1:29 of gpus together and we're in the
1:31 business of doing that in fact at
1:32 Juniper we were the first company to
1:34 introduce 800 GB ethernet networking
1:36 switching and routing last year um in
1:39 perfect time for this massive
1:41 opportunity that is before us got it so
1:43 presumably this is a big Focus for you
1:45 here at the show yeah it absolutely is I
1:47 mean this show really is uh very much
1:49 about service providers so if you think
1:50 about the service provider opportunity
1:53 both AI for networks and networks for AI
1:55 are very much front and center um
1:59 service providers have these massive
2:01 very complex networks they throw so much
2:03 money at just keeping them up keeping
2:05 them running I think the days of looking
2:08 at AI to running networks for them as a
2:10 nice to have are over it's NOW essential
2:13 and we've got so many tools and
2:14 capabilities to help them do that but
2:16 then I also look at networks for AI for
2:18 service providers where they have the
2:20 ability to offer new Services GPU as a
2:23 service AI service to generate new
2:26 revenue streams so we can help them both
2:27 in Top Line and bottom line yeah nice
2:30 okay so there's another concept we we're
2:32 talking about here which is AI native
2:34 networking tell us about what that is
2:37 yeah well I'll tell you what it isn't
2:38 you know some of our peers just kind of
2:39 put AI on a slide and say that they have
2:41 ai well I'm sorry it's not that simple
2:43 AI depends on some really critical
2:46 ingredients three in particular the
2:48 first is about the ability to tap into
2:50 the right data and I'm not here just
2:53 talking about sort of understanding
2:54 whether Network elements are up or not
2:57 we want to understand in real time the
2:59 end user experience are my users happy
3:02 are they satisfied and we have the
3:04 ability to do that second it's about
3:07 having the right cloud and an
3:09 infrastructure to tap into this data to
3:11 glean insights that will help you take
3:14 really important actions and that's
3:16 really the third important attribute of
3:19 AI which is about the response it's not
3:21 enough as some of our peers say just to
3:23 have observability you need to translate
3:26 that observability into insight and
3:28 ultimately into action that makes the
3:30 network better for the enduser and
3:33 that's really the ingredients of our
3:36 Miss AI native platform that we have
3:38 introduced and been fine-tuning and
3:41 growing very successfully in the market
3:43 for the last decade so we're talking
3:44 really about continual Improvement of
3:46 the networks exactly right yes got it
3:48 Ramy thank you for the very interesting
3:50 insights and enjoy the rest of the event
3:52 appreciate it thank you
3:55 [Music]