Amazon Lex makes building conversational bots easier and more accessible for everyone. Conversational bots use a lot of machine learning models to provide users with quick answers to their queries. Amazon Lex provides a graphical interface where you can specify what utterances your bot should respond to, slots of information it should collect, and confirmation questions that your bot should ask the user. Such tools can be tested directly on the dashboard, as we demonstrated in the previous section.
As data scientists need to build applications that will wow customers, using tools such as Amazon Comprehend, Rekognition, and Lex are a good way to build these prototypes rapidly. However, these services may prove to be expensive when used on a large scale. In such cases, we always work on building our own models using frameworks such as Apache Spark or SageMaker.
In the...
