Artificial intelligence has been one of the most discussed topics in tech for the past few years.
There are endless opportunities to utilize AI in various industries, and developers have responded by creating tools like chatbots, voice assistants, and automated customer service agents.
The best AI development platforms will help you create various solutions that can be used in your company or business.
This article will discuss five great options for AI development platforms to help you develop powerful artificial intelligence projects.
AI Development Platforms List
TensorFlow is an open-source software library for Machine Intelligence.
It provides a set of tools and APIs to allow developers to build and train machine learning models.
Developed by Google, it has been used in many commercial applications.
Uses include speech recognition, natural language processing, computer vision, robotics, and more.
TensorFlow is a service that best suits the needs of engineers, researchers, and other practitioners who want to work with neural networks.
TensorFlow offers an easy-to-use API and flexible integration with other open-source software.
The best way to get started with TensorFlow is through the tutorials found on their website. Tutorials cover topics like “Hello World” to build neural networks that classify images into 1000 different categories!
Microsoft Cognitive Services (https://azure.microsoft.com/en-in/services/cognitive-services/)
Microsoft Cognitive Services is an Artificial Intelligence (AI) development platform with a suite of APIs to help build applications that can take advantage of the power of AI.
The best part about Microsoft Cognitive Services is: It’s free!
Also, they offer publishing opportunities and best practices guidance.
Microsoft Cognitive Services (MSCogS) provides open-source tools that allow you to create real-time chatbots and voice experiences.
MSCogS offers a lot of community support so that developers can share knowledge!
IBM Watson (https://www.ibm.com/watson)
IBM Watson is a cloud-based AI system that IBM developed.
The idea behind the system is pretty similar to what you would expect from other AI systems.
It was designed to solve problems on every scale, from personal decisions up to major societal issues.
The reason behind this was to apply natural language processing and machine learning technology to a broader scale of applications.
This would allow it to take in data much more comprehensively and then spit out more accurate answers than traditional AI systems.
In total, there are around 25+ APIs that work with the Watson system.
Each of these APIs is designed to solve a specific problem and then provide an answer.
For example, one API works with healthcare questions while another helps you find out what restaurants nearby are good for dinner tonight.
All in all, this allows IBM Watson to provide an answer to a wide range of questions.
It has been used in almost every industry, from finance and insurance up to retail marketing.
Amazon Sagemaker (https://aws.amazon.com/sagemaker/)
If you’re looking to learn the fundamentals of AWS without any prior experience, Amazon Sagemaker is a great place to start.
It’s a highly practical course that starts with the fundamentals and covers everything from T-Shards, Amazon Elasticsearch Service (Amazon ES), and Amazon Redshift.
The AWS Training modules are designed for IT professionals and cloud developers who want to learn how to develop applications on AWS.
The course is also great for developers who want to build Machine Learning (ML) models and apply Artificial Intelligence (AI) in their applications.
Sagemaker makes it easy to build, train, and deploy your own AI model using popular deep learning libraries such as TensorFlow from Google or PyTorch from Facebook.
OpenAI is an initiative to nurture a benevolent AI while protecting society from harm, such as a future race of superintelligences. It is co-founded by Elon Musk, Sam Altman, and Peter Thiel.
The company’s mission statement (as stated on their website) includes “discovering and enacting the path to safe artificial general intelligence” while ensuring that risks remain manageable.
In this context, the term ‘general’ means a machine that could successfully perform any intellectual task that a human being can.
OpenAI’s research goal is to create safe artificial general intelligence (AGI); it also works on finding methods of aligning AI systems with human values and researching safety measures that could be used when developing new kinds of AI.
OpenAI was originally just an open-source project for researchers interested in learning more about artificial intelligence.
In today’s digital world, artificial intelligence is one of the best ways to cut costs and increase revenue.
The best Artificial Intelligence (AI) development platforms will help you create a variety of solutions that can be used in your company or business.
This article has listed five great options for AI development platforms that provide powerful tools for creating chatbots, voice assistants, automated customer service agents, and more!
From Tensorflow to IBM Watson Assistant, these are the best platforms on the market right now.
If you want to learn the inside scoop of how the best AI development platform companies like Microsoft or Google could benefit your business, sign up to my email list!