(AI) in any daily tasks?

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Collin
Posts: 14
Joined: Sat Apr 08, 2023 6:22 pm

Do you utilize artificial intelligence (AI) in any daily tasks?


Did you see the application of AI in any data engineering activities, such as ETL pipelines?
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Levi
Posts: 26
Joined: Mon Apr 03, 2023 11:51 pm

Of course. Our data pipeline is filled with several case statements that add business logic, alert us to issues, etc.
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Collin
Posts: 14
Joined: Sat Apr 08, 2023 6:22 pm

Levi wrote: ↑Mon Jul 24, 2023 10:55 pm Of course. Our data pipeline is filled with several case statements that add business logic, alert us to issues, etc.
The case statements are written by AI?
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Levi
Posts: 26
Joined: Mon Apr 03, 2023 11:51 pm

Collin wrote: ↑Mon Jul 24, 2023 10:57 pm
Levi wrote: ↑Mon Jul 24, 2023 10:55 pm Of course. Our data pipeline is filled with several case statements that add business logic, alert us to issues, etc.
The case statements are written by AI?
The case statements are AI
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usmantemuri
Posts: 21
Joined: Mon Oct 19, 2020 1:27 pm

Levi wrote: ↑Mon Jul 24, 2023 10:58 pm
Collin wrote: ↑Mon Jul 24, 2023 10:57 pm
Levi wrote: ↑Mon Jul 24, 2023 10:55 pm Of course. Our data pipeline is filled with several case statements that add business logic, alert us to issues, etc.
The case statements are written by AI?
The case statements are AI
Can you give any example ?
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Levi
Posts: 26
Joined: Mon Apr 03, 2023 11:51 pm

usmantemuri wrote: ↑Mon Jul 24, 2023 10:58 pm
Levi wrote: ↑Mon Jul 24, 2023 10:58 pm
Collin wrote: ↑Mon Jul 24, 2023 10:57 pm

The case statements are written by AI?
The case statements are AI
Can you give any example ?
I must divide my lead sources into many groups. I thus have case statements that parse their language and group them into useful bins.
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Bryson
Posts: 17
Joined: Mon Apr 03, 2023 11:30 pm

which data did you train your case statements on?
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Levi
Posts: 26
Joined: Mon Apr 03, 2023 11:51 pm

Bryson wrote: ↑Mon Jul 24, 2023 11:02 pm which data did you train your case statements on?
Although I don't always train my case statements in prod, when I do, I train them. However, utilizing any data other than production data to create lead source buckets is illogical.
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Bryson
Posts: 17
Joined: Mon Apr 03, 2023 11:30 pm

Well, with chatgpt. Even with wrong responses, you can still draw useful conclusions from them. 100 times better than searching.
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nightwatcher
Posts: 18
Joined: Sat Oct 24, 2020 4:44 pm

Bryson wrote: ↑Mon Jul 24, 2023 11:05 pm Well, with chatgpt. Even with wrong responses, you can still draw useful conclusions from them. 100 times better than searching.
I agree, ChatGPT can be very useful for generating ideas and finding information, even if it occasionally gives wrong responses. Compared to traditional searching, ChatGPT can be more efficient and user-friendly. However, it's important to verify the information you get from it and use your own critical thinking skills to evaluate its accuracy and relevance.
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