World’s most important AI platforms in 2024

In the advanced IT world, artificial intelligence plays a vital role in transforming industries and improving processes in different sectors. In 2024, many leading AI platforms compete to provide innovative and sophisticated solutions in various fields. These platforms range from graphic analysts to deep learning systems and smart applications that improve performance and provide innovative solutions. In this article, we will provide an overview of the top 10 AI platforms in 2024. Focusing on its innovative capabilities and applications in multiple fields such as medicine, trade, manufacturing, marketing, etc.

AI platforms

Platforms offering AI development services

They are software environments that provide developers with the necessary tools in the field of artificial intelligence models as well as the necessary infrastructure to engage in this field. Its services are data processing tools, machine learning tools, and deep learning, as well as model publishing tools, and cloud infrastructure.

1.   Google Cloud AI Platform

It is a cloud environment that facilitates the creation and development of machine learning models. By providing pre-prepared models, common spaces for the implementation of various projects with highly effective tools for model development. In addition to supporting open source frameworks, model training tools. With model management tools over time if the project is posted on cloud or peripheral devices through the Google Cloud AI platform.

2.   Microsoft Azure

It is Microsoft’s AI platform, consisting of a set of AI tools and services that enable individuals and companies to create different AI apps and software.

most important AI platforms

Deep Learning Platforms

TensorFlow

It is a library of open-source software, as well as a symbolic mathematics library. They are also mainly used in machine learning and neural network applications. Deep learning experts help design sophisticated and complex AI models.

AI Data Analysis Platforms

They are tools that use artificial intelligence technologies to extract and clean data. Thus, machine learning and deep learning are used to build and train models and then analyze them.

1.   Rainbird

Rainbird is a large open-source software library, used to create deep machine learning models. It has been developed by Google. It is also widely used in the creation of AI applications.

2.   Infosys Nia

It is one of the best AI platforms in data analysis, with Nia combining machine learning with corporate processes. This helps it automate repeated and complex business processes. In addition to improving the innovation process of new products through their decision-making capacity. It can also contribute to fraud detection security processes, provide technical support to customers, or even improve supply chain operations.

3.   Wipro HOLMES

It is a cloud computing platform, that automates tasks, as well as improving supply chain management and improving customer experience. By harnessing AI’s capabilities to improve and effectively manage business.

technological platforms

AI chat platforms

1.   Dialogflow

It is one of the best AI platforms used to create AI chatbots. It allows the design of attractive chatbot interfaces that rely on audio and text. One of its most important advantages is the understanding of natural language (NLU). In addition, it integrates with other Google Cloud tools seamlessly, allowing developers to create powerful and useful AI chatbots.

2.   Premonition

It is an AI platform specializing in customer service and e-marketing. Natural language understanding techniques (NLU), machine learning techniques, and deep learning are used, as well as integrating with customer relationship management (CRM) systems. This allows it to improve customer experience, increase sales, and generally improve business efficiency.

3.   Wit

Wit is one of the world’s most popular AI platforms and has been developed by Facebook, whose primary goal is to help developers design smart apps that relate to AI chat through natural language analysis. It includes tools to create distinctive conversation interfaces. It also integrates with other AI platforms such as Amazon Alexa, and other platforms such as Messenger.

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