Machine learning and AI systems are revolutionizing the way we do business, from automated customer service to fraud detection. However, at the core of these technologies is the need for high-quality, well-structured data. In this blog post, we’ll explore the basic data needs for a machine learning or AI system, and why having the right data is essential for the success of these systems.
The success of a machine learning or AI system depends on the quantity and quality of data that it has access to. Large and diverse data sets are essential to ensure that the system can learn and generalize well. In order to make accurate predictions or classifications, the system needs to be trained on a wide variety of data that covers different scenarios and edge cases.