The secret to AI success? Focusing on data preparation

Datasets are essential to AI models. They provide the truth by which we train AI models and measure a model's success. Engineers often look to the AI model as the key to delivering highly accurate results, but in reality it is often the data that determines an AI model success. Data flows through every step of the AI workflow, from model training to deployment, and the way it is prepared can be the main driver of accuracy when designing robust AI models. Engineers can use these five tips to improve their data preparation process and drive success when developing a complete AI system.