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 Why Shopee Lazada systems not using AI?

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DoomCognition
post Sep 22 2021, 08:31 PM

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QUOTE(billylks @ Sep 22 2021, 08:06 PM)
I wonder why these 2 online shoppings don't use any intelligent algorithms to recommend stuff buyers may like. I mean they have so many data that they can mine and analyse.

In Amazon, the algo will predict what else you will like by checking other customers purchase patterns when you bought the same thing. Something like if you like this item, you will like these recommended items too. In a way their algo is similar to Google Youtube algo.

In Shopee and Lazada. After you bought one phone, all you can see in the front page are phones. I HAVE ALREADY BOUGHT ONE FROM YOU LAH!
p/s: shopee and lazada big bosses, if you are reading this please employ me as your technology advisor.
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AI in Malaysia. Only limited to googling some python packages, take all the fields available in the database and dump as inputs, take entire order list and dump as output, press run and pray for the best.

In fact, only 5% of people who are called data scientist know how to do above. More realistically, AI in Malaysia is googling some packages in python, run correlation tests and multivariate regression, see the R-squared, plot K-mean charts and do up fancy slides of time series.
DoomCognition
post Sep 22 2021, 09:11 PM

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QUOTE(billylks @ Sep 22 2021, 08:40 PM)
I wonder in local universities got any courses on data science or not, and what do they teach? Or people need to learn this on their own.

Many boast they are data scientist when they know business intelligence software...
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They do, but more of what I described above. Basically it's some business statistics with lecturers on how to use certain packages with some dummy data. They are not really trained on real AI. AI is still very new, if a person is really skilled, likely he will be poached to SG. Malaysian bosses still are still not smart enough to appreciate true AI.

And like you said, those who use BI software also begin to call themselves AI / Data Scientist. When hiring nowadays, both employers and potential employees need to be careful of the term AI as it can mean any one of the following:

1. BI tool users
2. Management Information System workers
3. Data analyst who works with large amount of data and just prepare monthly reporting slides
4. Sometimes even data engineers and DBA
5. Statistical modellers (arguably these are closer to data scientist than others, but still not right)
6. Power Excel users who work with lots of data manipulation
7. Actual data scientist.
8. Actual AI engineers.




 

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