00:00Sir, the weather department has always looked at its predictions, but some of the time you can see that its
00:11accuracy remains in some cases.
00:15So now you can see that artificial intelligence has been used in the weather department.
00:23First, tell us about AI-related modules.
00:28How are you using it?
00:31And how much will it be in the future?
00:35Artificial intelligence and machine learning has been in many sectors.
00:40The weather forecasting has been used globally.
00:44In our experimentally, there is an attempt that we forecast for AI.
00:51It's a great advantage because it's a lot of data processing.
00:57It's a lot of data processing.
01:07It's a lot of data-driven models.
01:14The speed increases and the skills are quite in the weather forecasting.
01:19But there is no operation.
01:20We are running on experimental basis.
01:24The National Center for Media and Weather forecasting is running.
01:42The models are running.
01:44It's a lot of data processing.
01:49Well, what is it?
01:51So, in Japan, there's a lot of data processing.
01:57indeed, all of the time, they have been building a lot of technology that's been working with the project.
02:01I've been there using this whole course.
02:02What is it?
02:07There is a lot of data processing.
02:11It's in the same day that the students are doing this with the University of Punjab.
02:14So, Punjab University has a different place, where there will be weather monitoring, regular monitoring, and data set we will
02:25get there.
02:25We also have departments, jointly we will be able to work with them.
02:31So, we have a great initiative for both institutions, Punjab University and IMD.
02:39When we get the data, the AI will also be used for researchers, planners, faculty, and scientific institutions.
03:26The other thing is, we will be able to work with them.
03:27The other thing is, we will be able to work with them.
03:27And, in some cases, human resources, we need to fine-tune and improve them, so that our goals are very
03:37specific, user-friendly, and we are able to reach our last targets.
03:42We are able to work with them.
03:44Right.
03:45Sir, one more question, these data that you guys will work on,
03:50will this be the data of the day-to-day-to-day-to-day-to-day-to-day-to-day
03:54-to-day-to-day-to-day-to-day-to-day-to-day?
04:41We will be able to work with them.
05:06Thank you so much.
