AI Software development tools help developers create applications that can think and learn like humans. These tools enable developers to create intelligent algorithms that are useful to make decisions, solve problems, and improve processes. AI Software development tools can help to create a wide range of applications, including chatbots, digital assistants, and predictive analytics systems. In order to find the best AI Software development tools for your needs, it is important to consider your specific application requirements.
Top AI Software Development Tools in 2022
1. TensorFlow
TecnsorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
2. Google AI Platform
Google AI Platform is a cloud service that makes it easy to develop and use machine learning models. You can use the platform to train your own custom models or use pre-trained models that Google provides.
3. Amazon SageMaker
No doubt, Amazon is one of the leaders in AI and Machine Learning. Amazon SageMaker is their fully managed machine learning platform that makes it easy to build, train, and deploy machine learning models at any scale.
4. IBM Watson Machine Learning
Watson Machine Learning enables you to quickly create and deploy predictive models as APIs that are scalable and secure. The service supports popular open-source frameworks such as TensorFlow, scikit-learn and XGBoost.
5. Microsoft Azure ML Studio
Azure ML Studio is a cloud-based drag-and-drop tool that you can use to build, test, and deploy machine learning models. The studio provides an interactive environment that lets you experiment with different algorithms and tune hyperparameters to find the best model for your data.
6. Rainbird
Rainbird is an AI-based platform that allows you to automate repetitive tasks by creating decision trees. The platform uses natural language processing and machine learning to understand your business processes and suggest ways to improve them.
7. Infosys Nia
Infosys Nia is an artificial intelligence platform that enables you to build, test, and deploy AI-powered applications. The platform provides a library of pre-built models and components that you can use to accelerate your development process.
8. Wipro Holmes
Wipro Holmes is an AI platform that provides a set of cognitive services that you can use to build AI-powered applications. The services include text analytics, visual recognition, and predictive modelling.
9. DiagFlow
DiagFlow is a Google-backed platform that enables you to build chatbots for customer service. The platform uses natural language processing and machine learning to understand customer queries and provide accurate responses.
10. H20.ai
H20.ai is an open source platform that provides a set of tools for building machine learning models. The platform includes a library of algorithms that you can use to train your models.
Wrapping Up
These are some of the top AI Software development tools in 2022. While there are many other options available, these eight platforms offer a variety of features and services that make them well-suited for developing and deploying AI applications.
