Azure Open Datasets Description
Public datasets can help you improve the accuracy of your machine-learning models. Use curated datasets to save time on data preparation and discovery. These datasets are ready for use in machine-learning workflows and can be accessed from Azure services. Consider real-world factors which can have an impact on business outcomes. By incorporating features of curated datasets in your machine learning model, you can improve the accuracy and reduce the time required for data preparation. Share datasets with the growing community of data analysts and developers. Azure Open Datasets can be used to deliver insights at hyperscale with Azure's machine-learning and data analytics solutions. Open Datasets are free to use. Open Datasets are free to use, but you'll only be charged for the Azure services you consume, such as virtual machines, storage, networking resources and machine learning. Open data that has been curated and made available on Azure.
Azure Open Datasets Alternatives
ATTOM
ATTOM Cloud is designed to support a wide variety of industries and applications. It allows you to access national real-estate datasets directly from our public cloud platform. Our premium property data is the best in the industry. We also offer advanced real estate data licensing solutions that allow you to access the data you need when you need it. We provide property data from one source, with seamless integration to the data in its natural habitat. This data is available at your fingertips. The ATTOM Cloud data delivery system provides the fastest way for you to access curated property information that is matched to your requirements, easy-to-understand, and convenient to use. Register for a free trial and you will be able to access ATTOM Cloud in just minutes. You can also get property data for five selected counties. ATTOM's speed and flexibility allows customers to create industry-specific solutions faster. This improves time-to-market and gives them a competitive edge.
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IBM SPSS Modeler
IBM SPSS Modeler, a leading visual data-science and machine-learning (ML) solution, is designed to help enterprises accelerate their time to value through the automation of operational tasks by data scientists. It is used by organizations around the world for data preparation, discovery, predictive analytics and model management and deployment. ML is also used to monetize data assets. IBM SPSS Modeler transforms data in the best possible format for accurate predictive modeling. You can now analyze data in just a few clicks, identify fixes, screen fields out and derive new characteristics. IBM SPSS Modeler uses its powerful graphics engine to help you bring your insights to life. The smart chart recommender will select the best chart from dozens of options to share your insights.
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Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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CIENCE GO Data
With daily contact record validation, over 300M records are available. It's time for data! You can only validate the accuracy and reliability of a contact record by actually using it. CIENCE is one of the most important Outbound Services companies in the globe, and it consumes tens of millions of records each year (emails, phone calls). This results in:
- Up-to-date records (reduces decayed data)
Broad Company/Account data points
Accurate Email Lists (real world tested)
- Actual Phone Numbers (confirmed Dials)
The GO Data platform allows you to easily create ideal customer profiles (ICPs) and help you target them. GO Data provides a wide range of contacts that match your ICP. Start conversations with your ideal customers is the key to all B2B marketing databases. CIENCE GO helps you identify the right contacts and companies to help you create custom business lists.
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Pricing
Free Trial:
Yes
Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/products/open-datasets/
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Product Details
Platforms
SaaS
Type of Training
Documentation
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