And even if the data quality is good, if the chatbot’s ML training wasn’t modeled properly or is unsupervised, the chatbot can perform poorly—or unexpectedly, at the very least.
Data considerations: All chatbots use data, which is accessed from a variety of sources. As long as the data is high quality and the chatbot is developed correctly, the data will be a chatbot enabler. However, if the data quality is poor, it will limit the chatbot’s functionality. And even if the data quality is good, if the chatbot’s ML training wasn’t modeled properly or is unsupervised, the chatbot can perform poorly—or unexpectedly, at the very least.