00:00There, this ecosystem, this AI and digitalization ecosystem is there and we know it's rapidly
00:06changing. So how we as a country going to make use of these AI tools and also the talents that
00:13we have to become a creator of our own instead of we are working for other people. Instead of
00:19other people from other countries come to our country and build their own technologies here.
00:24We can build our own technology, right? So the question is how do we tackle this challenge?
00:30Of course the rapid adaptation, not everyone can adapt to it. People are just,
00:34people are shocked with this like arrival of like technology, like suddenly, right?
00:39In, you know, CHGPT when it's first released, how was the like reaction? Some people are like,
00:45you know, they cannot accept in the beginning, but now over 80% of people actually using CHGPT.
00:51And if we're looking into the employment site, sorry, in the industry sites, businesses in Malaysia,
01:00less than 30% are actually using advanced technology. They are using the basic digitalization,
01:06but it's not up to the par that they fully utilize what is already there. So what's important to do
01:13here is of course the government needs to bring awareness about the use of AI and digitalization,
01:20both in the education and also the employment sector. So that, for example, we can help the SMEs to
01:27integrate the digitalization, for example, AI, data analytics into the corporations, because nowadays
01:34it's still lacking. They are still at the basic levels. So I guess a large part of this problem is that,
01:41I guess, moving forward, a lot of what we can do is combining synergies, really understanding what is
01:48the core of each issue in terms of why there is a skills mismatch, for instance, or why businesses are
01:55not moving forward as quick as they used to. I mean, SMEs are a large part of our entire business ecosystem,
02:01but they are often a little bit left out when you talk about digitalization or the digital ecosystem in
02:07general. And so how do you then connect all these parts together and come up with a big, I guess,
02:16solution that tries to meet everyone at that point. And so I guess Tibet, he mentioned also that is
02:21coming to the front line of things and being more important, especially when we look at the education
02:27systems like in Germany, for instance. And so those are, I guess, important when we want to try to
02:33define what a career journey in the new age looks like. Because maybe it's not the CGO that you have,
02:43maybe it's more on what you know, your experience, because what sets you apart in the end is your
02:48ability to think unlike a binary and to your, I guess, your experience. That's essentially what makes us
02:55unique, right? And so I guess that's how I'm thinking about the talent and AI question.
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