Golang for Artificial intelligence
                     Golang for 
Artificial 
Intelligence
Introduction
• AI Applications help to improve User Experience, Customer 
Interaction, healthcare accessibility, Financial planning, 
purchase experience and more.
• They are helping businesses improve efficiency in 
utilization of resources, thereby improving the bottom line 
profit.
• So the question arises “Which programming 
language is best for developing AI 
Applications?”
Golang
• Go is a new yet modern 
language. Though languages 
such as Python and Java are 
widely popular for developing 
AI applications, Golang is 
swiftly capturing the market 
due to some unique features.
• AI Applications demand swift 
response to requests in order 
to mimic human intelligence. 
Golang not only brings speed 
into request execution but also 
introduces a host of other 
benefits:
Why Go Artificial 
Intelligence?
Superior error handling and easier debugging
• In order to mimic human intelligence input and output 
must be simultaneous and error handling must be quick. 
• Golang has many good machine learning, reinforcement 
learning and deep learning libraries focused on all parts of 
the pipeline. Some of these are for Natural language 
processing, tensor operations, and even a GPU-accelerated 
deep learning stack. 
Why Go Artificial 
Intelligence?
Speed and Accuracy
• Golang’s concurrency model and simple syntax help to 
improve the speed of the language. 
• This allows it to handle multiple concurrent requests 
simultaneously.
• Golang code is also fast, thread ready, easy, clean, 
compiled, and simple. Number of support for libraries for 
Natural Language Processing, machine learning, data 
analysis, extraction, processing, and visualization help 
develop feature rich AI Applications.