10 best AI platforms and tools you should try in 2024
Let's explore the best AI platforms available for different use cases in one-person teams, small startups, and large corporations.
Every month, more companies across all industries use Artificial Intelligence (AI.) It’s evolving from a nice-to-have to a necessity to stay competitive. The surge in AI applications has also resulted in an influx of platforms and tools to make it all possible. But if you’re the developer working with AI, how do you actually know which ones are the best?
We’re here to help. Whether you’re a one-person team, a small startup, or a large corporation, we’ve analyzed dozens of options to bring you the ten most useful ones today.
We’ll go over what each of them does and who they’re best for.
Let’s get started.
10 best AI platforms and tools
Listed in no specific order, here are the ten best AI platforms and tools you should try in 2023.
- TensorFlow — open source Machine Learning (ML) framework
Overview
TensorFlow is an open-source ML framework developed by Google. It’s designed to provide a flexible, efficient, and scalable environment for building and launching ML models. It’s open-source software that supports a wide range of tasks, including deep learning, neural networks, and other ML algorithms. With its comprehensive documentation and community support, TensorFlow is one of the favorite frameworks in the AI community.
Best for
Developers and data scientists looking to deploy ML models. Suitable for both beginners and experts.
- OpenAI — AI research and models
Overview
OpenAI offers a suite of products that leverage cutting-edge AI research to provide solutions for various applications. They are best known for their flagship conversational chatbot, ChatGPT, released in November 2022 and reached 100 million users in just two months. Their products include the GPT-4 language model, Codex for developers, DALL·E for image generation, and more. OpenAI’s goal is to ensure that artificial general intelligence (AGI) benefits all humanity.
Best for
Developers and businesses looking for advanced AI models and applications.
- OpenCV — open source computer vision library
Overview
OpenCV is an open-source computer vision and machine learning software library. It contains more than 2,500 optimized algorithms for image and video analysis, including facial recognition, object detection, speech recognition, and augmented reality functionalities.
Best for
Developers and researchers working on computer vision projects.
- NVIDIA — AI hardware and software
Overview
NVIDIA is a dominant player in the AI chip market. They offer a complete suite of hardware and software solutions tailored for AI and data science. Their products range from GPUs optimized for deep learning to software platforms like NVIDIA AI Enterprise and NVIDIA DeepStream.
Best for
Companies, developers, and researchers looking for high-performance AI hardware and software.
- DataRobot — AI platform
Overview
DataRobot is one of the leaders in Value-Driven AI. It provides an all-in-one AI solution that works well with various systems. Their expert team helps users tap into the power of AI to meet their objectives. The platform is designed to maximize the benefits of AI for its users. It supports teamwork and large-scale operations and ensures proper governance and compliance.
Best for
Companies looking for an enterprise-grade AI platform with both code-first and no-code options.
- OVHcloud — cloud AI platform
Overview
OVHcloud provides a range of cloud hosting solutions, including products tailored for AI and machine learning. They offer GPU-powered instances, object storage, and data processing tools to help businesses deploy and scale their AI applications. OVHcloud stands out for its consumer-friendly, eco-friendly approach and affordability compared to larger competitors.
Best for
Developers looking for cloud-based AI solutions.
- Google Cloud — cloud AI platform and services
Overview
The Google Cloud AI Platform is a suite of tools and services that allow developers and data scientists to build, deploy, and manage AI models. It offers capabilities such as AutoML for automated model training, AI Platform Training for custom models, and AI Platform Prediction for deploying models.
Best for
Developers and data scientists looking to leverage Google’s AI capabilities.
- AWS AI — cloud AI platform
Overview
Amazon Web Services (AWS) offers a comprehensive set of AI and ML services. Whether you’re looking to improve customer experience, productivity or accelerate innovation, AWS provides tools for many different applications. Their products include Amazon SageMaker, used for managing ML models, Amazon CodeWhisperer, used as an ML-powered coding companion, Amazon Comprehend for discovering insights in text, and many more.
Best for
Developers and data scientists looking for cloud-based AI solutions.
- IBM Watson — enterprise AI and data platform
Overview
IBM Watson is a leading AI platform with advanced capabilities. The platform features 'WatsonX, ' a new next-generation AI and data solution designed to amplify the impact of AI across businesses. WatsonX includes tools for training, validating, and deploying AI and ML-trained models. Other tools offered by IBM include Watson Assistant for providing automated answers, Watson Discovery as a natural language AI, Watson Code Assistant for assisting developers, and more.
Best for
Developers looking to manage their ML models and businesses looking to integrate AI into their operations.
- Chatfuel — AI chatbot platform
Overview
Chatfuel is a no-code AI chatbot platform that allows you to easily automate customer service for your business. It is powered by GPT-4 by Open AI, and it works on the most popular messengers and platforms: WhatsApp, Facebook Messenger, Instagram, and your website.
Chatfuel makes it easy to train the AI on your documentation, making the human-like chatbot capable of offering real-time personalized product advice and support.
Best for
Businesses looking to automate their customer service with an AI-powered chatbot platform.
And here we are, now you are equipped with everything you might need to build and grow in the AI space. Of course, the tools and platforms in this article represent just a fraction of what’s available out there.
As you become more and more experienced in this field, you are sure to find even more tools and platforms. Remember that the key is not just to adopt but to adapt, innovate, and evolve. The future is AI-powered, and it is full of promise.
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