Why AI startups are taking data into their own hands

The article discusses how AI startups are increasingly taking data into their own hands, rather than relying on freely available or crowd-sourced data. Companies are recognizing that proprietary training data can provide a competitive advantage in the AI industry. Traditionally, AI models were trained on data that was scraped from the web or collected from low-paid annotators. However, as the AI market becomes more competitive, startups are investing in building their own unique datasets. This allows them to differentiate their products and services from competitors, while also ensuring the quality and reliability of the data used to train their models. The article suggests that this shift towards proprietary data is a response to the growing importance of AI in various industries. Companies are now seeing data as a valuable asset that can give them an edge over their competitors. As the AI ecosystem continues to evolve, it is likely that more startups will follow this trend of building and maintaining their own specialized data resources.