Microsoft Azure Machine Learning Studio
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Find More Qualified Prospects
- Discover Your Ideal Customers
- Find Decision Makers
- Segment Audiences
- Export Audience Segments for Cross-Channel Marketing
- Audience Data Management
- Increase Engagement
- Enrich Leads and Accounts with Accurate B2B Data and Intelligence
- Score Audiences by Propensity to Convert
- Keep Learning with AI
- Optimize Conversion
- Qualify and Route the Right Leads Faster
- Match Leads to Accounts
- Immediate Access to Account And Lead Intelligence
Pricing Info
Pricing Info
Leadspace SMB and enterprise pricing plan information is available only upon request. Please contact the company for details, and request for a quote.
Integrations
Integrations
Leadspace integrates with the following third-party tools, applications, and technology solution providers:
- Salesforce
- Marketo
- HubSpot
- Eloqua
- Engagio
- LeonData
- Oracle
- Oracle Data Cloud
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Marketo, N3, Microsoft
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
An AI-powered audience data management software solution that can optimize marketing and sales funnels by capturing best and qualified prospects, customers, and audiences, segmenting audiences into targeted and prioritized accounts based on buyer persona, predictive score, and user-defined characteristics, and generating clean, accurate, and up-to-date B2B data and intelligence which can be used for personalizing cross-channel marketing campaigns and increasing conversion rates.
Company Email
info@leadspace.com
Contact No.
Company's Address
Leadspace, Inc.
47 Kearny St. Suite 600
San Francisco, CA 94108
USA
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Pricing:
Starting from $9.99
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Predictive modeling
- Anomaly detection
- Intuitive graphical interface
- Support for R scripts
- Drag and drop technique for building experiments
- Valuable documentation
- Text analytic support
- High-performance computing
- Disaster recovery
Pricing Info
Microsoft Azure Machine Learning Studio offers a two-tier enterprise pricing structure:
Free @ free
- 100 modules per experiment
- 1 hour per experiment
- 10GB storage space
- Single node
Standard @ $9.99/seat/month and $1/studion experimentation hour
- Requires Azure subscription
- Unlimited modules per experiment
- Up to 7 days per experiment
- Unlimited storage space
- Read data from On-premise SQL
- Multiple Nodes
- Production Web API
- SLA
Integrations
No info available.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, SLAC
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
Redmond, WA
Microsoft Azure Machine Learning Studio Comparisons
Popular Microsoft Azure Machine Learning Studio Alternatives
Please pay attention to the fact that even though both Leadspace and Microsoft Azure Machine Learning Studio may offer an excellent array of features every app may be designed for a different company size. If you are studying different apps you should pay attention to a business size they are catering to. Some elements could scale up well for large enterprises but if you run a small or medium company it’s frequently better to refrain paying for complex functionalities that you might never actually use.
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