AI systems such as natural language processing and machine learning algorithms can be integrated into existing applications to add functionality and improve their performance over time. AI integrations refer to software connections that send data from AI applications to other apps and vice versa. These integrations help apps work together and provide apps with artificial intelligence capabilities to fulfil actions, tasks, and processes. Most AI integrations are powered by application programming interfaces (APIs), which in turn are developed by the companies offering AI apps.
There are multiple examples of AI integrations as the number of use cases keeps growing every day. The examples include:
Categorizing customer support tickets.
Summarizing sales calls.
Writing email responses
To successfully integrate artificial intelligence into an application, there are two main methods.
Code through one or more APIs to integrate one or more apps.
Use a third-party platform like Make to build and deploy the integrations.
