Golang AI applications offer incredible potential. It offers unique features such as inexplicable speed and ease of debugging and concurrency.
There are also excellent libraries for ML and deep learning. This blog will show you some amazing examples of AI using the Golang programming language.
Learn how Golang language can be used to develop applications that implement AI.
Introduction
Artificial Intelligence is a marvelous invention that has made life easier for millions of people.
AI has revolutionized everything, from lifestyles to interpersonal relationships to the way we do business and work.
AI applications can improve the user experience of your customers, enhance financial planning, interactivity, and health accessibility, as well as provide a better user experience.
Developers have been shifting towards Golang AI development over the past decade. Golang is the most popular programming language to implement AI in business applications.
The New IDC Worldwide Spending Report predicts that USD 77.6 Billion will be spent on Artificial Intelligence System and Cognitive Forecasts by 2022.
The market for AI technology is enormous and is projected to reach a valuation of more than 1.8 trillion US dollars by 2030, according to Statista.
AI is not just for software and hardware companies, but also for human life.
Industries can take advantage of AIs advantages
The UK and USA have implemented artificial intelligence in their industries to allow their customers to reap the benefits of this latest technology.
Here are some verticals that use AI in business applications.
Healthcare: AI can be used to enhance a variety of healthcare services. AI can be used to provide many healthcare services, including accurate diagnosis, drug discovery, and medication management.
IBM Watson is the most prominent example of AI being used in healthcare. Artificial Intelligence for Drug Discovery is another platform that uses AI and big data to aid in healthcare.
E-commerce and retail: Retail customers are attracted to unique marketing strategies and patterns.
Complex algorithms allow AI to help customers find the most relevant products and services that they are looking for.
AI-assisted chatbots can solve most customers' questions in a matter of minutes. AI plays an important role in improving customer experience in the eCommerce and retail sectors.
Food technology: Amazing AI technology hacks have enabled incredible transformations and ease in the agriculture, food, and kitchen industries.
AI allows Robo-chefs and automatic sorting of food. It also helps with farm conditions. Farmers would be able to maximize their crop yield potential with intelligent tractors and plowing machines.
Banks and financial services: Artificial intelligence-assisted Robo advisors take over human efforts to reduce calculation times and provide accurate recommendations.
AI chatbots have also improved the customer experience with insurance. This amazing technology uses digital intelligence to detect and prevent fraudulent transactions.
It analyzes critical data elements.
Transportation and Logistics: Through predictive analytics and machine-learning algorithms, AI has transformed the supply chain management sector.
It helps in shipping, packaging and sorting, shipments, and speedy delivery.
Travel: AI technology has been a boon for the travel industry as it allows them to predict customer behavior and patterns.
AI chatbots are available 24 hours a day to assist customers and provide accurate answers. It has greatly improved customer experience.
Real estate: AI helps brokers to make real estate deals more efficient and effective by providing strategic reasoning.
Customers can find answers to all their questions via chatbots that are available 24 hours a day and have a pleasant travel experience.
Brokers can use the AI-bot to find potential customers who are looking to rent, buy, or sell their properties.
Entertainment: AI algorithms can predict what users are most likely to watch based on their watch histories and activities.
A TV producer or broadcaster can also get an idea of their customers interests and times. Other uses of AI in entertainment include storyboarding, creative content, digital effects, and engagement patterns.
Manufacturing: Collaboration robots can bring about a huge transformation, allowing humans to both give and follow orders.
AI can detect potential production faults and predict future production issues, improve product quality, and allow for predictive maintenance.
You might be curious to know the best programming languages for AI after reading about the amazing potential of AI in a variety of industries and domains.
Read blog: Artificial intelligence has changed the way we learn and develop
Python vs. Go: Which one is best for AI-based apps?
Before you begin your next AI project, it is important to understand which AI programming language is best. You've probably heard of Python, the most used language for developing AI apps.
Lets find out what's new in the AI world and why Golang is replacing Python when it comes to developing AI applications.
Python is the most popular choice because of its appealing benefits, such as syntax simplicity, usable libraries, and is easy for beginners, for a long period.
AI developers quickly realized the downsides to using Python for AI. These are just a few of the disadvantages.
Speed: Python is dynamically typed and interpretable, making it slow to execute. Your app will take a long time to execute because every variable gets a data type at run-time.
Python lacks multicore processing.
Global interpreter lock: GIL in Python allows one thread to run simultaneously. This is different from multithreading functionality.
It improves single-threaded behavior. This makes Python an inefficient choice for large-scale engineering projects.
Your app users will end up spending a lot of time waiting, which can be detrimental to your reputation.
C/C++ is used: Pythons libraries are written in C++ and C++ for AI and ML-like Tensorflow and Numpy. Python requires assistance from other programming languages to overcome its problems of speed, concurrency, and concurrency.
Let's now move on to Golang, the next popular language for creating AI applications.
Everything about Golang
Rob Pike (Google engineer), Ken Thompson (Google engineer), and Robert Grismer developed Golang (Go). This language was created to meet modern computing needs.
Golang was intended to be used as a general-purpose language. It has proven to be an excellent language for AI app development.
Recent changes in Golang have seen AI developers switch to it for its unique characteristics. This has led to the language's growing popularity.
Google released Golang more than a decade ago, and developers are reaping the benefits. Open-source programming language Go allows you to create efficient software.
Golang is becoming the global standard for AI development.
American Express, Netflix, and Uber are all famous users of the Golang programming language. Learn how Golang can be used to create Nex-gen Enterprise solutions like these big companies.
Why is Golang the best choice for AI apps?
Golang is capable of performing math calculations 20-30x faster than Python. It also has suitable ML algorithms, libraries, and other tools.
It is a good choice for cloud distributions because it supports concurrency using goroutines. Memory-safe eliminates errors that can be caused by memory.
These are the top features and characteristics of AI development.
Quick error handling and debugging
Your AI application should be able to produce spontaneous outputs in order to match human intelligence. Golang contains all parts of the pipeline, including ML libraries, deep-learning, reinforcement learning, and deep learning.
It also includes NLP, GPU-accelerated deep learning stack, and tensor operation. AI applications created with the Go language are functionally richer and more refined.
You will have fewer errors because the input and output of your Golang AI app are almost simultaneous. Debugging will also be easier for you.
Altruistic GO libraries
Golang allows AI developers to simultaneously handle multiple concurrent requests, increasing the speed of your AI app.
Your Golang AI app will be fast and accurate thanks to its simple syntax and concurrency model.
Coverage is extensive
Golang currently has very few libraries. The libraries are expanding and growing to the point that you can create diverse AI applications for different domains.
GoML is for passing data and GoLearn is for data handling. Hector can be used for binary classification.
Scalability and computation
Compared with Python, Golang offers a lot of potential for both mathematical and logical calculations. Golang is able to solve complex mathematical formulas much faster than Python.
Golang is a flexible programming language. Golang for AI apps will give you instant access to any reports or actions.
Minimalist & Readability
Gos algorithms were created keeping in mind the minimalistic approach. Golang AI developers implement AI algorithms using a minimalistic approach that makes it easy to understand and make their code look clean.
Certain Golang AI apps that use recursive algorithms will be slower.
You already know that Golang has all the benefits of creating an AI application.
Golang AI ML libraries
These libraries of Golang are designed to provide the best possible service for AI applications.
General Machine Learning libraries
- Neural Networks
- Linear Algebra
- Probability Distributions
- Decision Trees
- Bayesian Classifiers
- Recommendation Engines
A Golang AI Application Idea
Golang is the right choice if you're ready to allow AI software and technology to become part of your business strategy, or have an idea or project that could benefit from AI being used in your company, as we mentioned above.
Do you have an idea for an AI application development project? Our Golang AI developers will help you understand your idea, give feedback, explain the process and make your dream a reality.
Conclusion
We are home to well-informed and experienced technical experts who keep up with current trends. Golang is the best AI friend you can have to help you get to fame and success.
Golang AI development is possible when you engage with us. You should be able to identify your market competitors and other trends that will help you follow in your footsteps.
