Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.
Description
Relying on manual monitoring poses significant risks. It is simply not feasible to oversee operations continuously, and intermittent checks tend to be unreliable at their best. Employees can overlook essential readings, and the data they do capture is often affected by human error as they hurry to return to other pressing responsibilities. Despite these challenges, equipment failures can occur at any hour, leading to serious consequences. In the absence of a comprehensive monitoring solution, organizations can incur substantial financial losses due to labor costs, regulatory penalties, unanticipated equipment malfunctions, wasted resources, and additional expenditures. As the leading provider of comprehensive remote monitoring solutions, we are dedicated to offering exceptional automated protection for commercial refrigeration systems and facilities, ensuring consistent oversight while generating considerable cost efficiencies. Our technology not only safeguards your equipment but also significantly enhances operational reliability.
API Access
Has API
API Access
Has API
Integrations
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
Integrations
Cisco IoT Control Center
IBM API Connect
IBM App Connect
IBM Aspera
IBM Cloud
IBM Cloud Pak for Applications
IBM MQ
IBM Watson IoT
Red Hat Cloud Suite
SAP Cloud Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-iot-platform
Vendor Details
Company Name
IoT In a Box
Country
United States
Website
www.iotinabox.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization