Hello folks, What are AI companies struggle the most from? Getting data? Label data? computation power? prices(be specific)? Share from your experience https://www.kaggle.com/discussions/questions-and-answers/360010 will appreciate your help boizz and girlzzz

Getting accurate data. Depending on the industry, you need to ensure the data is accurate. Labeling data (IMHO) shouldn’t be outsourced, otherwise you loose the credibility and accuracy of the trained model. Unless you manually check every single entry which defeats the idea of outsourcing.

We currently provide financial data for a few and for 3 out of 5 startups we’ve worked with in the last 3 months, it’s data 👌👌

Getting the data and labelling it is the first challenge