Frontend/Backend AI Definition
Frontend AI refers to the interface or user-facing aspect of an AI system, such as a chatbot or a recommendation engine. It is the part of the system that interacts directly with the user. Possible end-users of this can include both customers and customer service agents.
Some examples of Frontend AI can be like AI-based chatbots for customer service, personal voice assistants (Ex. Siri, Alexa, Cortana), an AI language assistant suggesting conversational routes to an account representative or service agent, etc.
Backend AI refers to the underlying systems or technologies that support the front end, such as data storage, machine learning algorithms, and servers. It is the part of the system that processes and analyzes data, and powers the functionality of the frontend.
An example of Backend AI can be an AI system that can organize collected data into categories to make it more accessible for human designers and analysts. Backend AI is utilized in a variety of applications across various departments and organizational levels, such as automation, data analysis, monitoring, notifications, and speech recognition.