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What is Tomorrow.io?

Tomorrow.io is recognized as the world’s only Weather Intelligence Platform™, providing customized solutions to various industries impacted by weather phenomena. Renowned companies such as the NFL, Uber, Delta, Ford, and National Grid utilize Tomorrow.io to significantly improve their operational efficiency. This platform is meticulously designed to aid organizations in understanding how weather influences their business activities, thereby fostering improved communication among teams and enabling actionable strategies that drive productivity and enhance profit margins. Rather than merely presenting static data, it transforms weather information into actionable insights. Users can consolidate essential data, including crucial locations, weather thresholds, established protocols, and response strategies, all within an intuitive interface. By merging historical, real-time, and predictive weather information from across the globe, the platform maximizes efficiency. Tomorrow.io also includes an interactive map showcasing over 30 weather and air quality metrics, allowing users to track and visualize weather trends using color-coded layers, supported by both short and long-term forecasting options. This all-encompassing strategy equips businesses to navigate the challenges posed by unpredictable weather patterns effectively. Additionally, the platform’s adaptability ensures that organizations remain agile in their decision-making processes, ultimately leading to better resilience against the impacts of weather variability.

What is Azure Open Datasets?

Improve the accuracy of your machine learning models by taking advantage of publicly available datasets. Simplify the data discovery and preparation process by accessing curated datasets that are specifically designed for machine learning tasks and can be easily retrieved via Azure services. Consider the various real-world factors that can impact business outcomes. By incorporating features from these curated datasets into your machine learning models, you can enhance the precision of your predictions while reducing the time required for data preparation. Engage with a growing community of data scientists and developers to share and collaborate on datasets. Access extensive insights at scale by utilizing Azure Open Datasets in conjunction with Azure’s tools for machine learning and data analysis. Most Open Datasets are free to use, which means you only pay for the Azure services consumed, such as virtual machines, storage, networking, and machine learning capabilities. The availability of curated open data on Azure not only fosters innovation and collaboration but also creates a supportive ecosystem for data-driven endeavors. This collaborative environment not only boosts model efficiency but also encourages a culture of shared knowledge and resource utilization among users.

Media

Media

Integrations Supported

Microsoft Azure

Integrations Supported

Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tomorrow.io

Date Founded

2015

Company Location

United States

Company Website

www.tomorrow.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/open-datasets/

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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