What is better Azure Machine Learning Studio or LivePerson? If you want to have a quick way to decide which AI Software product is better, our exclusive method gives Azure Machine Learning Studio a score of 9.5 and LivePerson a score of 8.8 for overall quality and performance. Furthermore, Azure Machine Learning Studio is rated at 97%, while LivePerson is rated 100% for their user satisfaction level.
You can also review their product details, including modules, tools, options, plans, pricing, and much more. See if the application lets you to customize a few of its processes to guarantee the software matches your own business procedures.
Our experts made sure to review all popular AI Software services that you can find on the market, but among them these three deserved our special attention: Azure Machine Learning Studio, Salesforce Einstein, Google Vertex AI.
Azure Machine Learning Studio offers the following enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Azure Machine Learning Studio offers APIs for developers’ use. For more information, contact support or get in touch with the community.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, Stanford’s SLAC National Accelerator Laboratory
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A cloud-based interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.
To determine pricing, LivePerson will work with you to identify what interactions are best suited for automation and which messaging channels should be enabled. Start by scheduling a meeting with an AI expert.
In the event you continue having doubts about which software will be best for your company it might be a sound idea to take a look at each service’s social metrics. These metrics are quite often a way to see how popular a given solution is and how wide is its online presence.For instance, if you analyze Azure Machine Learning Studio LinkedIn account you’ll learn that they are followed by 5539 users. In case of LivePerson the number of followers on their LinkedIn page is 166.
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