Azure Machine Learning Studio
NOAWARDS
YET
Pricing:
Starting from $9.99
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Drag-and-Drop Function
- Projects
- Notebooks
- Datasets
- Modules
- Trained Models
- Experiments
- Experiment Conversion
- Web Service Publishing
- Cortana Intelligence Suite
- Cortana Intelligence Gallery
- APIs
Pricing Info
Pricing Info
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.
Free – $0
- 100 Modules per Experiment
- 1 Hour per Experiment
- 10 GB Storage Space
- Single Node Execution/Performance
Standard – $9.99/seat/month
- $1 per Studio Experimentation Hour
- Unlimited Modules per Experiment
- Up to 7 Days per Experiment, 24 Hours per Module
- Unlimited – BYO Storage Space
- On-Premises SQL Data Processing
- Multiple Nodes Execution/Performance
- Production Web API
- SLA
Integrations
Integrations
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
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.
Company Email
Contact No.
Company's Address
Microsoft Azure
1 Microsoft Way
Redmond, WA 98052
USA
Azure Machine Learning Studio Comparisons
Popular Azure Machine Learning Studio Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Natural Language Understanding
- Real-Time Virtual Agent Support
- Live Agent Handover
- Conversation History Provision
- Knowledge Management
- Workflow Management
- BI Reporting Platform
- Integrations
Pricing Info
V-Person Service Desk is a self-service desk for workers. Companies interested in integrating the virtual agent into their ecosystem can request for their enterprise pricing via phone or email.
Integrations
V-Person Service Desk can be integrated with the following types of services and solutions:
- Single Sign-On
- Ticketing
- Databases
- Live Chat
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Commercial Bank of Dubai, Royal Society for the Prevention of Cruelty to Animals, Verizon
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A machine learning and AI-powered self-service support portal for a company’s employees.
Company Email
info@creativevirtual.com
Contact No.
Company's Address
Creative Virtual
165-167 Cannon Workshops
5 Cannon Drive
London
E14 4AS
V-Person Service Desk Comparisons
Popular V-Person Service Desk Alternatives
Please keep in mind that even though both Azure Machine Learning Studio and V-Person Service Desk may provide an outstanding range of features every solution could be designed for a different company size. If you are analyzing various solutions you may want to give some attention to a business size they are catering to. Certain elements may scale up efficiently for huge enterprises but if you own a small or medium company it’s frequently better to refrain paying for customized features that you might never actually use.
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