WEBVTT 00:00:00.640 --> 00:00:03.160 Vaishali, Manoj, Welcome. Manoj, to you first. 00:00:03.160 --> 00:00:04.880 How are you seeing AI and GenAI. 00:00:04.960 --> 00:00:06.840 impacting networks today? 00:00:07.880 --> 00:00:10.400 First and foremost, as you know, AI and GenAI 00:00:10.400 --> 00:00:15.200 is transforming everything we know from customer care to how people write code, 00:00:15.200 --> 00:00:19.320 how people write unit testing, and every facet of life is changing. 00:00:19.880 --> 00:00:23.800 Specifically in the case of networks, it's fundamentally changing the things 00:00:23.800 --> 00:00:25.280 which we used to do manually. 00:00:25.600 --> 00:00:26.960 Everything is getting automated. 00:00:27.240 --> 00:00:29.760 Everything is becoming more self-driving. 00:00:29.840 --> 00:00:32.600 You get to figure out things before they happen, 00:00:32.600 --> 00:00:36.960 you find the problems before they happen, and pretty much 90% of the trouble 00:00:36.960 --> 00:00:39.880 tickets vanish because of the AI factors involved. 00:00:40.360 --> 00:00:44.840 So this is a genuine revolution which is happening in networks because networks 00:00:44.840 --> 00:00:49.800 used to be incessantly complex before, tough to manage, tough to operate, everything. 00:00:49.800 --> 00:00:53.320 But that's going to become much more simple with new AI-driven products coming 00:00:53.320 --> 00:00:55.400 from companies like ours at Juniper Networks. 00:00:55.920 --> 00:00:58.280 Vaishali, what are some of the key challenges that 00:00:58.280 --> 00:01:01.000 organizations face when it comes to GenAI deployment? 00:01:01.440 --> 00:01:03.400 And I guess what can they do to overcome those? 00:01:04.640 --> 00:01:08.000 It's a good question, Georgie, because as Manoj said, 00:01:08.000 --> 00:01:10.760 you can use it on so many different fronts. 00:01:11.160 --> 00:01:14.960 But at least I find there are two or three things that differentiate what I 00:01:14.960 --> 00:01:16.720 call the leaders from the laggards. 00:01:17.240 --> 00:01:18.920 And I would say the first is 00:01:18.920 --> 00:01:21.320 picking a few focus areas. 00:01:21.320 --> 00:01:27.360 And note I'm not using the word use cases, but domains that you really want to apply 00:01:27.360 --> 00:01:28.320 AI and GenAI. 00:01:28.320 --> 00:01:29.400 to and really make a difference there. 00:01:29.400 --> 00:01:30.640 to and really make a difference there. 00:01:30.640 --> 00:01:32.360 That's I would say the first point. 00:01:32.880 --> 00:01:37.440 The second is it's not just about technology for technology's sake. 00:01:37.960 --> 00:01:41.800 Having some financial and operational outcomes is quite key. 00:01:42.080 --> 00:01:47.240 And we find that only 20% of companies actually do that within a time-bound way. 00:01:47.840 --> 00:01:53.400 And the third is it is 10% about, you know, the algorithms, 00:01:53.400 --> 00:01:56.560 it's 20% about the tech and so on. 00:01:56.600 --> 00:01:59.000 But it's 70% about driving the change. 00:01:59.440 --> 00:02:02.520 And if you don't drive the change, then you know, 00:02:02.520 --> 00:02:04.520 you don't get really the impact. 00:02:04.520 --> 00:02:08.040 So in my mind, if we have these three things, 00:02:08.040 --> 00:02:13.120 it would make a big delta, whether it's a network or in any other 00:02:13.120 --> 00:02:14.680 domain that we pick. 00:02:15.240 --> 00:02:19.480 I just want to pick up—why were you so adamant about saying not use cases? 00:02:20.800 --> 00:02:25.840 Because, you know, everyone defines use cases in their own way. 00:02:25.840 --> 00:02:28.960 And it can be this small or it can be this big, 00:02:28.960 --> 00:02:33.400 and you can then have a scatter plot across the whole organization. 00:02:33.400 --> 00:02:35.840 And then, you know, it loses the focus. 00:02:36.200 --> 00:02:40.760 So you'd rather pick a domain, and then whether it's two use cases, ten, 00:02:40.760 --> 00:02:43.880 five, whatever, you really are revolutionizing or 00:02:43.880 --> 00:02:46.040 reshaping or reinventing a domain. 00:02:46.600 --> 00:02:51.240 I would like to chime in a little bit because use cases tend to focus you on a 00:02:51.240 --> 00:02:54.280 microcosm, you know, because it's a defined thing. 00:02:54.280 --> 00:02:55.480 By definition, GenAI 00:02:55.560 --> 00:02:58.800 and AI can relieve you from those, you know, constraints. 00:02:59.120 --> 00:03:02.440 So if you look at the entire domain, you kind of look at a fresh way of doing 00:03:02.440 --> 00:03:04.920 things, you know, just because it was done a certain way 00:03:04.920 --> 00:03:07.040 before, that's not the same way it's going to be 00:03:07.040 --> 00:03:07.600 done with AI. 00:03:07.960 --> 00:03:09.000 So that's the opportunity. 00:03:09.520 --> 00:03:14.360 How can business leaders then balance the need or the desire for GenAI 00:03:14.360 --> 00:03:19.000 innovation but with sustaining critical network infrastructure? 00:03:19.000 --> 00:03:21.120 How do you make that balance? 00:03:21.880 --> 00:03:24.240 In some ways, I think they're closely tied together. 00:03:24.400 --> 00:03:27.800 I think like Vaishali said, if you embrace AI and GenAI especially.. 00:03:27.800 --> 00:03:31.120 you start to think about things differently. 00:03:31.400 --> 00:03:35.040 So instead of thinking about your fundamental critical business problems as 00:03:35.040 --> 00:03:37.360 completely separate from enabling AI and GenAI, 00:03:37.360 --> 00:03:41.760 if you think of them together, you may have new ideas sprouting. 00:03:42.760 --> 00:03:46.240 Having said that, every business has some critical aspects 00:03:46.240 --> 00:03:49.200 they have to continue to do well at or maintain. 00:03:50.000 --> 00:03:53.320 But the more you embrace newer ways of doing things like GenAI, 00:03:53.320 --> 00:03:56.520 you will find newer ways to tackle the same old problems. 00:03:56.920 --> 00:04:00.040 For instance, you know, in our business at Juniper Networks, 00:04:00.040 --> 00:04:01.960 by embracing AI and especially GenAI, 00:04:01.960 --> 00:04:06.120 now we have AIOps managing almost every aspect of the network flawlessly, 00:04:06.120 --> 00:04:10.800 which used to be done by hordes of people, people sitting in the network operating 00:04:10.800 --> 00:04:12.400 center and doing that stuff. 00:04:12.400 --> 00:04:15.640 So we simplified things, which means people have the freedom to do 00:04:15.640 --> 00:04:18.720 other stuff, better work, where they can use their intellectual 00:04:18.720 --> 00:04:21.400 horsepower better, rather than doing the mundane work. 00:04:21.640 --> 00:04:24.720 So without actually combining the two, we wouldn't have been able to come up 00:04:24.720 --> 00:04:25.520 with those answers. 00:04:25.520 --> 00:04:29.960 So I would say think of them together rather than think of them separately. 00:04:31.280 --> 00:04:35.360 And from my perspective, I would say there are so many things that 00:04:35.360 --> 00:04:40.000 can be used and applied and solved that you don't have to go for your most 00:04:40.000 --> 00:04:44.840 critical part of the process and say I'm going to apply AI and GenAI there. 00:04:44.840 --> 00:04:48.360 There is so much else that can be first, you know, 00:04:48.360 --> 00:04:52.480 adapted and revolutionized before you jump into, you know, 00:04:52.480 --> 00:04:54.080 the most critical part. 00:04:54.160 --> 00:05:00.080 So in my mind there is always a balance that can be found while still making 00:05:00.080 --> 00:05:02.640 great strides and moving forward. 00:05:03.280 --> 00:05:05.600 Vaishali, Manoj, thank you so much. 00:05:06.040 --> 00:05:06.600 Thank you.