In the field of Software Development, Artificial Intelligence plays a major role by helping software developers to write the code faster and effectively which further speeds up the testing process. Artificial Intelligence Software Development involves the usage of AI software that imitates human intelligence and performs the tasks that need human cognitive skills, this software also works based on complex algorithms and machine learning models. Therefore, in this article, a detailed explanation has been provided about the best AI Development Software used in 2023.
Best AI Development Software [2023]
What is AI Development Software?
Artificial Development Software (AI) is the type of software that allows users or developers to build high-quality powerful AI tools to streamline different tasks with great speed and efficiency. Some of the most famous AI tools that are very popular and well-developed are- AI chatbots such as ChatGPT, AI writing tools such as Jasper, AI art generators, AI voice generators, and many more.
What is the objective of AI Development Software?
The main objective of Artificial Development Software is to create software systems that can analyze large data sets, identify patterns, and make data-driven decisions, they also have the power and ability to solve multiple problems and can make efficient decisions in the business and industries.
Types of AI Development Software:
The most important Artificial Intelligence Development Software’s are mentioned below:
- Deep Learning: This is a type of AI Development Software that mainly focuses on the training of neural networks that are inspired by the human brain for tasks that need human-like intelligence. Across multiple fields, deep learning software is applied which mainly includes speed recognition, computer vision, and so on.
- Machine Learning: The AI development Software which is related to machine learning enables the computers to learn from the data by recognizing the relationships and the patterns. These types of machine learning tools use different algorithms and techniques like- regression analysis, clustering and so on.
- AI Development Platform: There are multiple AI Development Platforms which accommodate developers with different skill sets and also serves an effective base for the AI projects.
- Conversational AI: The conversational artificial intelligence mainly focuses on simulating human-like conversations which enables the software developers to develop responsive and interactive conversational agents.
Best AI Development Software [2023]
There are multiple Artificial Development Software available for the use of Software developers. Some of the most famous AI Development Software in 2023 are mentioned below:
1. Google Cloud AI Platform
Google Cloud AI Platform is one of the best Artificial Intelligence development Software which allows the software developers to develop, train and deploy the machine learning models with their frameworks. This software is a cloud based software which consists of a lot of documentation to help the users to learn the platform and develop the advanced products.
Key Features:
- Google Cloud AI Platform supports the most popular frameworks such as Scikitlearn and Tensorflow.
- With the help of this AI development software developers can build algorithm tasks such as speed recognition, NLP and so on.
- Google Cloud Platform is an easy to use platform for creating, training and deploying the Machine learning models.
2. IBM Watson
IBM Watson is one of the popular conversational AI platforms which is developed for the question and answer use cases, it uses Machine Learning, NLP and the knowledge representation to find the meaning of the question and then create the accurate responses.
Key Features:
- IBM Watson is a pre-built AI service and APIs development tools which leverages deep learning, natural language and machine learning.
- IBM Watson offers a system integration for healthcare, education and customer services.
3. Microsoft Azure AI
Microsoft Azure AI is an AI tool and services which is used for developing, managing and deploying the AI solutions at the scale which includes deep learning, machine and the cognitive advantages. Microsoft Azure AI also allows the Artificial Intelligence developers to create custom AI models.
Key Features:
- Microsoft Azure AI development provides tools for deep learning, cognitive services and machine learning.
- With the help of Microsoft Azure AI software it is easy to build, manage and deploy Artificial Intelligence solutions at scale.
- Microsoft Azure AI development software integrates with the popular development tools like GitHub and Visual Studio.
4. Google Dialog Flow
Google Dialog Flow is an AI development software which allows the software developer to construct the conversational agents using the NLP and integrate them with the external messaging platform. Google Dialog Flow helps to develop the advanced chatbots for customer support and for other purposes.
Key Features:
- Google Dialog Flow consists of a user-friendly interface which enables the software developers to create conversational interfaces using natural language processing.
- Dialog flow also allows software developers to integrate with the chatbots with different messaging platforms with the voice assistants.
5. Infosys Xtract Edge
Infosys Xtract Edge is an AI platform which is developed by Infosys which further helps the organization and businesses to automate the complex business processes by improving productivity and gain the useful insights by using deep learning, natural language processing and machine learning.
Key Features:
- Infosys Xtract Edge helps in converting the non-text information images to text using the optical character recognitions so that it can be processed.
- With the help of Infosys Xtract Edge users can automate data extraction.
6. H2O.AI
H2O.AI provides an open-source machine learning platform that allows developers to build and scale AI models. It includes open-source AI models and algorithms that have been pre-trained. Because it is open-source, developers can self-host their models or choose between on-premises and cloud deployments.
Key Features:
- It provides an open-source AI platform.
- Designed primarily for business applications.
- Flexible deployment options for selecting the precise security control required.
7. BigML
BigML is a cloud-based machine-learning platform that provides developers with tools and algorithms for building and deploying predictive models using machine-learning techniques such as decision trees, random forests, and deep neural networks. It’s one of the simplest platforms to get started with.
Key Features:
- The platform for creating, deploying, and managing custom AI models.
- Machine learning algorithms such as decision trees, random forests, and deep neural networks are used.
- It is available for on-premises and cloud deployment.
8. Observe.AI
Observe.AI is an AI-powered call center solution that analyzes and transcribes customer conversations in real time using natural language processing and speech recognition. The advantages include the ability to gain insights into customer sentiment, identify trends, and improve agent performance at scale. AI developers working on customer experience (CX) and support can use Observe to dramatically accelerate insight adoption.
Key Features:
- Speech recognition, transcription, and natural language processing (NLP) are all layered into a powerful voice platform.
- Analytics capabilities for monitoring what is happening across an entire support organization.
- Insights and analytics to solve problems and capitalize on top performance trends.
9. Viso Suite
Viso Suite is a computer vision software platform powered by AI. It offers a comprehensive computer vision application development platform that businesses can use to create their own applications. This can be used to track traffic, inventory, and so much more.
Key Features:
- Combines powerful computer vision with a platform for application development.
- The low-code solution for rapid development of advanced AI systems.
- Pre-built integrations to increase the agility of the low-code environment.
Conclusion:
These Artificial Intelligence Software are very important in the field of Software development as it helps the software developers in the creation of software systems and analyzing big datasets. Therefore, in this article a detailed explanation has been mentioned about the AI Development Software’s and the best AI Development Software’s with the key features present on these Software.