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
- Image annotation
- Building boxes
- Semantic segmentation
- Lines, points and polygons
- Transcription
- Document verification and KYC
- Document digitization
- Human assisted OCR
- Text analysis
- Chatbot training
- Sentiment analysis
- Review classification
- Content moderation
- Spam detection
- UGC moderation
- Ad moderation
- Data collection
- Competitor pricing and SKU matching/analysis
- Lead generation
- Image categorization
- Attribute extraction
- Review classification
- Receipt transcription and invoicing
- Insurance claims transcription
- Fully managed enterprise solutions
Pricing Info
Enterprise pricing varies by the services required and scope of work. More information is available from the support about pricing and service configurations.
Integrations
Information about integration available from support
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Alibaba Group, Flipkart, paytm
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
Fully managed enterprise solutions for image annotation, transcription, text analysis, content moderation and data collection services
Company Email
hello@playment.io
Company's Address
Playment Comparisons
Popular Playment Alternatives
No AI Software will be perfect enough to cover all the requirements of a business. Though key functionalities of Azure Machine Learning Studio and Playment are important you should also carefully examine the integrations offered by each solution. Very often your team will already be working with other types of SaaS software in your company and it’s definitely wiser to select apps that integrate well with one another. That way you will be able to be certain of an effortless exchange of information between your teams and services, which can really reduce time wasted on migrating between one app and the other.
Page last modified