When Should You Scale Your Data Labeling?

The "AI in Short" series is a collection of shorter pieces that supplement my longer articles and provide bite-sized and readily usable information about AI in a modern business. In the age of data-driven decision-making, the need for data labeling has never been greater. Data labeling is an essential part of training, testing, and validating machine learning models. But with the ever-increasing demand for labeled data, business leaders are often faced with the question of "when is it time to scale?" After all, data labeling can be time-consuming and requires careful iteration. Luckily there are a few tell-tale signs that you should consider when deciding if it's time to scale your workforce or outsource your data labeling needs.