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What is Nokia Private Wireless?

Industry 4.0 leverages cutting-edge technologies such as the industrial Internet of Things (IIoT), artificial intelligence (AI), machine learning (ML), edge computing, and wireless communication. A wide range of asset-intensive industries, including manufacturing, ports, mining, utilities, railways, airports, logistics, smart highways, and urban development projects, are quickly embracing these technological advancements. The ongoing digital transformation in these fields relies on the ability to collect data, analyze it, and respond swiftly, frequently in real-time scenarios. Data acquired from IIoT sensors is processed via edge computing, utilizing AI and ML algorithms to interpret and model the information collected. The insights gained from this analytical process enable rapid decision-making, adjustments to processes, and the unlocking of new efficiencies, especially in the realm of automation. The combination of Industry 4.0 and private wireless technology allows sectors to effectively merge their physical and digital environments, ensuring that sensors, machinery, and workforce are all interconnected in a manner that is both efficient and reliable. Consequently, industries experience a remarkable increase in the potential for innovation and productivity improvements, marking the dawn of a new phase in operational excellence. This transformation not only enhances existing processes but also paves the way for unprecedented opportunities for growth and development in various sectors.

What is IoTSense?

IoTSense is recognized as a leading, all-encompassing IoT platform that utilizes open standards, which enhances its adaptability and scalability in the market. Beyond this, IoTSense adopts a tech-focused methodology specifically designed for the Industrial Internet of Things (IIoT), a sector where IoT technologies are deployed in industrial or manufacturing environments. This concept, often referred to as Industry 4.0 or the Industrial Internet, integrates advanced data analytics, machine learning, sensor data, and machine-to-machine (M2M) communications to develop intelligent and commercially viable industrial systems and facilities. Our IIoT platform enables users to securely connect and manage extensive IoT data, leading to improved operational efficiency. Essentially, IIoT encompasses a network of interconnected devices that leverage communication technologies to assess data, share insights, and offer a thorough understanding of operations, thus supporting rapid decision-making for business enhancements. By embracing IIoT, organizations can greatly refine their processes, achieving not just efficiency but also a strategic advantage within their industry landscape. This transformative approach ultimately positions companies to innovate and excel in an increasingly competitive environment.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$20000 as a one-time payment
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

Nokia

Date Founded

1865

Company Location

Finland

Company Website

www.nokia.com/networks/private-wireless/industry-4-0/network/

Company Facts

Organization Name

Winjit

Date Founded

2004

Company Location

United States

Company Website

www.winjit.com

Categories and Features

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

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

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