← Back to context

Comment by devjab

1 day ago

While I agree with both you and the article I also think it'll depend on more than just the volume of your data. We have quite a lot of documents that we classify. It's around 10-100k a month, some rather large others simple invoices. We used to have a couple of AI specialists who handled the classification with local NLP models, but when they left we had to find alternatives. For us this was the AI services in the cloud we use and the result has been a document warehouse which is both easier for the business to manage and a "pipeline" which is much cheaper than having those AI specialists on the payroll.

I imagine this wouldn't be the case if we were to do more classification projects, but we aren't. We did try to find replacements first, but it was impossible for us to attract any talent, which isn't too much of a surprise considering it's mainly maintenance. Using external consultants for that maintenance proved to be almost more expensive than having two full time employees.