We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"When we got our first models and were ready for the user acceptance testing, our licensing fees were between €2,500 ($2,750 USD) and €3,000 ($3,300 USD) monthly."
"From a developer's perspective, I find the price of this solution high."
"The licensing cost is very cheap. It's less than $50 a month."
"There is a license required for this solution."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
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Infosys Nia is an Artificial Intelligence platform which collects and aggregates organizational data from people, processes and legacy systems into a self-learning knowledge base and then automates repetitive business and IT processes, freeing up human effort to solve higher-value customer problems that require creativity, passion, and imagination.
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.
Infosys Nia is ranked 10th in AI Development Platforms while Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 17 reviews. Infosys Nia is rated 0.0, while Microsoft Azure Machine Learning Studio is rated 7.6. On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". Infosys Nia is most compared with IBM Watson OpenScale and TensorFlow, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Dataiku Data Science Studio, IBM Watson Studio, Alteryx and Amazon SageMaker.
See our list of best AI Development Platforms vendors.
We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.