KDnuggets - Shaip

Top 3 Factors to Consider Before Budgeting AI Training Data

In a recent guest feature, technical experts from Shaip shared some thoughts on the key factor that must be taken care of before embarking on the journey of AI deployment and training the AI data. 

Here are the Key Takeaways from the Article

  • AI modules can be as effective as their training data is, and collecting the right set of data is a mammoth task. Before embarking on the journey of training AI data, one of the most important considerations is how much you are willing to spend on the AI data.
  • The three key considerations to look into before budgeting AI Training data are, the amount of data required, the price of data, and choosing the right vendors.
  •  On average companies need close to 100,00 data samples for the effective functioning of their AI models. With that being said, the quality of data you feed into your system also matters. Poor data quality means more data biases and higher costs. Apparently, the volume of data directly influences the price you would end up paying. To know more on top key things to marketed before budgeting AI training data.

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