How can a sole trader/small business owner use AI to their advantage? (lemmy.world)

submitted 3 months ago* (last edited 3 months ago) by FarraigePlaisteach@lemmy.world to c/asklemmy@lemmy.world

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I'm used to seeing articles about AI being used for either highly scientific uses or for generating semi-entertaining nonsense. For a personal business involving managing appointments, documenting meetings, tracking payments etc, can AI help with any of that? Other things include undertaking CPD training, occasional advertising as well as maintaining a website from time-to-time.

The people I know who don't think AI has any use for them belong in this category and work in the area of mental health, yoga teaching / training, nursing and massage therapy.

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[-] slazer2au@lemmy.world 36 points 3 months ago

Honestly, I don't think it can in any meaningful way.

LLM are regurgitation machines prone to hallucination. Other tools exist for business management which are more suited for a sole trader.

[-] FarraigePlaisteach@lemmy.world 5 points 3 months ago

Thank you. That doesn't surprise me, but with all the hype I wondered if I was missing something.

[-] hoshikarakitaridia@lemmy.world 9 points 3 months ago

AI right now is in that phase where we find out how to improve it and where to use it. It will be useful somewhere in the next 5 years, but not now. And I don't even know if it will ever be useful in finance. We'll see. Now is not the time.

The only reason to use it rn is if you're a scientist or an enthusiast. You are neither I'd assume.

[-] clay_pidgin@sh.itjust.works 7 points 3 months ago

My company uses an LLM to summarize a report. Basically give it all the data and tell it what normal looks like so it can write stuff like "26,000 users this month, a minor decrease from last month. This is not an issue as it is within normal bounds."

I don't see the point, but management felt we had to put AI in SOMETHING so other companies don't have a marketing advantage.

We've been working on anomaly detection for a while with Machine Learning, which is really more impressive but much harder.

this post was submitted on 11 Aug 2024

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