That’s a vague question, as you do need to understand the purpose of what you want to achieve with Artificial Intelligence technology to understand which technology is the best.
In my view, for example, G2 quadrants for AI platforms are the key ones:-
· IBM Watson.
· Google Cloud ML Engine.
· Amazon Sage Maker.
· Tensor Flow.
IBM uses its Artificial Intelligence System, Watson, to make data-and AI-based efficient media decisions. Share this post: IBM Watson, the cognitive supercomputer, is ideal for a wide variety of applications and IBM is currently optimizing the buying of programmatic media using Watson.
Google Cloud ML Engine:-
A host network for research and prevision on a scale of machine learning. There was a mistake. Cloud ML Engine automatically supplies and tracks all tools to run the work. The life cycle of deployed models and their variants can also be controlled.
Amazon Sage Maker:-
Amazon AI is an artificial intelligence program (AI) that offers Amazon Web Services (AWS) customer’s machine learning and in-depth learning technologies. There was a mistake. It provides services that can understand the languages of human beings, translate text into language and analyze images to recognize locations, faces, and artifacts.
An open-source artificial intelligence library that generates models using data flow graphs. It enables developers to build large-scale, multi-layer neural networks. The main aim of Tensor Flow is to: identify, interpret, understand, discover, anticipate, and create. Furthermore, although all systems are great for themselves they do not always have a solution.
Rather, they serve as the basis for the creation of various solutions-specific AI SaaS companies and software companies. Here are my picks on the best AI platforms you need to learn for a summary of the four major subcategories G2 lists under AI.
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