Thank you very much for your time.

Indeed. Great.

I’ll take that feedback back to the CMO. [laughs] Sometimes, I have the same issue, which is a lot of information on our website.

Right. We have a sense of appraisement solution to identify water leakage.

I was at the AmCham luncheon. You mentioned about a water leakage…

Presidential Hackathon.

Thank you.

All right. That has been a very good exchange. A lot of good insight.

All right.

You’re going to do some research, who you should go and talk to in Kaohsiung.

Any preference in terms of whether there’s any particular preference for working with domestic companies rather than international companies like…?

I see. Is there any ranking of which municipality is actually more receptive to innovative projects to be tested out and all that?

Even the Sandbox and Prime was done at a municipal, even on the recreating level.

Yeah. You are very, very to the point. That’s great insight. Absolutely.

Yeah, I know. There has to be some on prem title solutions which…

Yeah, I know. The SME is not easy. Trying to find angle is not that easy.

That’s right. We were having a little bit discussion with them. We were having a discussion with ASTRI in Hong Kong and also A <em> STAR, in Singapore. A </em> STAR in Singapore, they want to play Malay and the other language and other dialect in there as well.

We actually were talking to [Mandarin] because they have a chatbot that can process multi language like Cantonese, Mandarin and whatnot. We were thinking about using it for the banking operations like customer relations and customer services and all that. There was a little bit discussion about how we can ...

We are probably not to the point of getting into the 2C market, like advertising and whatnot. We are not really touching that part yet. We are still focusing more on the industrial enterprise side.

Yeah. They are very, very much into fintech. In Taiwan, you definitely want to find some industrial 4.0 partners and as I mentioned, in industrial 4.0, the solution can be benefiting not only just the big guys, but also the small media design enterprises as well. It is our goal ...

Healthcare is definitely one of them, power and utilities is another one, and I mentioned financial, fintech.

Like in UAE, we are pretty close with UAE. Part of the reason is because one of the investors, G42, is a kind of UAE investment fund that support…I’m sure that, Audrey, you will probably understand a little bit about the background. Through the Abu Dhabi investment fund, we are ...

Mostly centered. We are mostly energy, and we are moving into healthcare, as I mentioned. We are going to move into different verticals. That’s part of the reason that we do the CVC. So, the CVC is about globalization and also moving to different vertical.

Instead of always looking for this seven figures project that we want to get, this is more scalable. This is something that you can sell to more popular…the public to use.

That’s the thinking about it, putting some time in. That requires some infrastructure. We’re still a startup, even though we raised a fair amount of money, but at the same time, we survive. We need to make sure that we get the bread and butter.

Ultimately, you cannot have everything done by grandeur or beyond limits. You want to democratize it a little bit so that the client, at their level, can actually continue to use this tool. To continue to build up their own knowledge building and capture.

That’s something that I’ve been talking to Mark about, and it’s called knowledge editing. You convert the domain knowledge into domain specific language that the economic agent can understand.

I think that, for one thing, it will help even the [Mandarin], even the enhancement. At the same time, it also may cultivate a pretty vibrant, flourishing environment. That requires some infrastructure building because different verticals, you need to develop different kind of knowledge editor.

The domain knowledge. It’s very, very crucial for that domain knowledge. If I can create a knowledge editor, I can extract that domain knowledge and build it into some kind of domain specific language. Then have a knowledge editor that the person can input their own [Mandarin]. That can be ...

However, I am also facing this potential threat that I will not be able to compete with the big guys, but I know something. I know something specific in this industry.

One of it is right now, if you sell a complete solution to some of these folks, you might be just too overwhelming for them anyway. They’ve been running a mom and pop shop, making these gadgets and whatnot and all that. I’ve been doing it for generations.

But there’s all these small medium size enterprises. They are doing day in day out manufacturing, design, and whatnot and all that. They can also benefit from the AI solutions. How do we do that? Just brainstorming this whole trip. I just got out of US, and then just talking ...

One of the things I have been thinking about, we visited Microsoft and talked with them on we can cooperate to sell solutions over here. When I say sell, frankly, we have business considerations obviously. The big guys, we definitely have to talk to them, try and sell our solutions, ...

There’s a little bit interaction there. Maybe it gives you some insight, you come up with different way of doing things. That feed back into the loop, so you continue to be self learning that way.

The operator will click on it, then you will see that the machine have gone through a couple recommendations. Each of them come with a certain logic and, finally, recommendation number one. You can override it. You can come in and say, “You know what? I look at all this, ...

Absolutely, yeah, you got it. Then, you click on it. The thing is, what we do is that we don’t override a human decision. We only give you advice. For the operator, he can click on it and understand what the logic. Let’s say there’s a tripping event because you’re ...

We have demonstrated we have a product that’s quite well built. It’s called Process Automization Advisor. We took on a lot of the operator’s knowledge in how to run a prod. Most of the time, we’re focusing on where the human decision making process is key. Again, like I said, ...

Part of the reason is because we can take a lot of rules and heuristic from the symbolic AI to generate different hypotheticals, to fill up that gap, so that you can have a complete model, so that the machine can give you a certain recommendations. While he is doing ...

For example, we have these hypothetical generators, the fact that we don’t need a complete data set in order to have the cognitive AI agent to give you a recommendation.

You can also have people who are less skilled to be able to do more skillful work. To some extent, there’s a little bit of that social impact on that as well. That’s part of what our AI engine can do. We could go deeper into it. I could probably ...

It’s a tacit knowledge, it’s all lost. Then you have the young folks. Maybe sometime, especially in the industry, energy sector is not exactly the most sexy industry. It’s hard to attract really good talent. Then, how are you going to be able to train those folks and bring them ...

There’s a lot of capturing of the institutional knowledge. Say, for example, this past two weeks or so, we have been talking to a lot of different industries and their problems. A lot of the problem has to do with 傳承, their experience. They’re not passed on.

Basically, what we did was, we have a cognitive AI agent. That is the core. Essentially, we can take a lot of inputs from the numeric AI, so whether it’s coming from CNN, our end, different sets of data and all that. We take those input. We also have IP ...

I’m not exactly the best person to talk about that aspect.

There might be some mutual support, in a sense, to try to do something together.

That goes with the transparency idea. What you have done in Taiwan, a lot of time using technology to make it more transparent, make technology even more accountable, so to speak, to people. That’s something that I’m interested in exploring, what kind of projects that we can do together with ...

That’s something that a lot of AI, you don’t have that. That part, it is very core in our philosophy, in developing our AI platform. We think that if AI is going to be adopted in a society for this purpose, you has to develop that trusting relationship between a ...

A lot of times, you need to find a right environment. Last year was not exactly the right environment, even in my own country [laughs] to do this kind of experiment. Taiwan is a good place for us to test out some new models, how to adopt our AI, especially ...

Support is one. The other one is I, personally, have been impressed by what, Audrey, you have done, and also Taiwan has done this past year in this challenging environment, and then continue to maintain the economy. Big part of it is the use of technology, and use of technology ...

IP process, yeah.