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Machine Learning

Build Scalable Chatbots with Pushfyi Websocket Server
Real Time Social Feed

Real Time chatbots

Applications of websocket technology in building chatbots

Artifical Intelligence powered chatbots are becoming exceedingly popular as the research in the area of Deep learning using neural networks gains momentum. Soon you are going to find internet resources full of questions pertaining to scalability and user experience of an artificial intelligence powered customer support bot or an e-commerece bot trying to offer an human like shopping experience.

Rapidly create a scalable chat server for your AI powered chatbots.

PushFYI websocket server can be used to create a real time messaging framework for your chatbots. PushFYI is decoupled from your AI layer so they can be scaled separately. PushFYI can also be scaled very rapidly by adding more PushFYI nodes, without the need to modify anything else.

Machine Learning Use Cases of PushFYI

A few use cases to use PushFYI websocket server with an artificial intelligence chatbot

Real time chat

Real time chat messaging

Websockets are much faster than HTTP Polling.

Uniform interface

Uniform interface

Have a uniform interface for web and mobile clients.

Better scalability

Better scalability

Be ready to answer scalability questions.

Responsiveness

Responsiveness

Websocket powered interface will be more responsive.

Decoupling from AI

Decoupling from AI

Keep your AI layer separate from messaging layer.

Standardized

Standardized

It sure sounds good to have bots talk to each other.

Our real time experts are waiting to help you get started

PushFYI Open Source available on GitHub