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What is IBM Watson IoT?

The Internet of Things (IoT) represents a vast network of billions of interconnected physical devices around the world that continuously collect and exchange data. By harnessing IoT data in conjunction with IBM Cloud® technologies, businesses can uncover valuable insights that improve nearly every aspect of their operations and foster the development of cutting-edge business models. Start by connecting your device to an IBM Cloud recipe, using open and lightweight protocols such as MQTT or HTTP for efficient connectivity. Effective management of these connected devices enables applications to access both current and past data seamlessly. Secure APIs play a crucial role in allowing your applications to integrate smoothly with the data produced by these devices, promoting effortless interaction. You have the flexibility to build analytical applications either in the IBM Cloud, on another cloud service, or on your own infrastructure. The IBM Watson IoT® Platform offers a user-friendly approach to quickly connect, collect, and process IoT data. Furthermore, the analytics service can be utilized for powerful visualization and AI-driven analytics in the cloud, resulting in better decision-making and enhanced operational efficiency. This holistic integration not only revolutionizes the way businesses function but also significantly enhances their ability to create value within the digital economy. Ultimately, the transformation brought about by IoT and cloud technologies is reshaping industries and driving innovation at an unprecedented pace.

What is Azure IoT Edge?

Azure IoT Edge is a comprehensive service that runs on Azure IoT Hub, allowing you to implement a range of workloads, from artificial intelligence to both Azure and third-party services, as well as your own tailored business logic, directly onto IoT edge devices through the use of standard containers. By positioning specific workloads closer to the network's edge, these devices can reduce latency in communication with the cloud, react quickly to local events, and sustain their operations even during extended offline durations. You have the flexibility to apply models that were created and trained in the cloud right at the location where they are needed. For example, if a predictive model for quality control is set up on a factory camera and issues arise, IoT Edge has the capability to issue an alert, analyze the data locally, or send it to the cloud for further examination. This service not only guarantees the dependable and secure performance of your edge devices, but it also ensures they can operate effectively with limited or no cloud connectivity. Additionally, Azure IoT Edge includes device management features that keep the latest status of your devices in sync automatically, which improves overall operational efficiency and responsiveness. This smooth integration not only fosters a more effective workflow across your IoT ecosystem but also enhances the ability to make real-time decisions based on localized data processing. Ultimately, Azure IoT Edge empowers organizations to harness the full potential of their IoT devices and data.

Media

Media

Integrations Supported

Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)

Integrations Supported

Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
IBM Cloud
IBM Cloud Messages for RabbitMQ
IBM Watson IoT Platform
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/internet-of-things

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/iot-edge/

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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