00:10First we are from the
00:12...
00:14...
00:15...
00:16...
00:16...
00:17...
00:17...
00:17...
00:19...
00:19...
00:19...
00:19...
00:19...
00:21...
00:21...
00:21...
00:21...
00:23...
00:23...
00:23during this time, we have three main components, three main components,
00:28which are the UK, the Malaysia, the Malaysia, the Malaysia, and also the
00:32Bomber and the Salvation of Malaysia.
00:35So, this group has already been 30 years old.
00:38And, during the same time, the NARMA has already been
00:41built for 10 years.
00:44So, in a combination of 30 years of experience,
00:47we have also been sent to several countries,
00:50and also the capacity capacity that we have
00:54and also we actually have the National Disaster Command Center
01:00we have used AI to analyze data-data that we have
01:05from all the technical agencies and agencies responders
01:08such as MED Malaysia, Jabatan Pengharian and Saliran
01:12and also agency-agency Agatha Pertahanan Malaysia
01:16that is still in Padang, Jabatan Kementerian Masyarakat
01:19we can analyze data-data this
01:21and we can get one in a period of time
01:26in a period of time and precise and precise
01:27so we can use it for example
01:31in a period of time
01:33in a period of time
01:34so we don't have to worry
01:37from a period of time
01:37that is why we are in a period of time
01:43we are in a period of time
01:45so we have to be a mentor
01:48to several countries
01:50like Russia, Brunei, Darussalam
01:53and Turkey
01:55and so on
02:10so
02:11we are in a period of time
02:13so we are in a period of time
02:14but if we look at the pameran
02:16this is a lot of AI
02:18that we can add
02:19and use
02:20okay
02:21if we see
02:22there are
02:23for example
02:24that is
02:24that is
02:25that is
02:25how the AI
02:26with drone and AI
02:28how to make
02:28the threat
02:29that is what we will use
02:33that kind of thing
02:34we will use
02:35that is why
02:37So, the important thing is to use a platform like Resilient Asia
02:41to learn what technology has in the outside.
02:45The new technology is to bring back and apply in Malaysia
02:50as well as in the SMART, with the National Disaster Command Center
02:54or with the SMART team.
02:56Most of our agency, like MAP Malaysia,
03:01if we want to make rain rain,
03:08we can use predictive AI to make sure the weather's weather.
03:17They will share information to the National Disaster Command Center
03:21that we will combine and triangulate with data-data from JPA, JKA and so on
03:27So, we will continue to do the analysis and we will continue to do the analysis
03:31if there will be something like that.
03:34How do you compare the timing of the comparison?
03:37How do you compare the AI better than manual?
03:40Timing of the comparison?
03:42Timing, we don't have exact figures.
03:45But, from the beginning, if we can take one data from one agency,
03:50we can wait for the other data,
03:52then we have to look at some days
03:56for a few days to determine whether it will happen
03:58or not.
03:59But, with predictive technology,
04:01we can be able to analyze the data
04:05and give us a level of improvement.
04:09So, for example,
04:10if there is something like that
04:13or something like that
04:14or something like that
04:15or something like that
04:15or something like that
04:15or something like that
04:16So, from the timing, exactly
04:18actually, it doesn't exist.
04:19But, when we can see a lot of data
04:23in a short period,
04:24that's the advantage of it
04:26that we can use in the AI.
Comments