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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Fostering advancements in essential areas such as transportation, lighting, parking, security, environmental sustainability, and infrastructure is crucial. By harnessing IoT innovations, cities can significantly enhance service delivery and improve the quality of life for their residents. The application of data analytics in smart city technology plays a vital role in shaping urban planning and future developments. A strategic technological integration allows cities to minimize energy consumption, waste, and costs while promoting sustainability. This approach can lead to reduced energy usage across the entire asset portfolio. Furthermore, leveraging near-real-time IoT data can enhance operational flexibility. Through the use of big data analytics, actionable insights can be generated to inform decisions. Reliable maintenance of buildings and facilities can be achieved through predictable scheduling. Additionally, transitioning to LED lighting can significantly lower energy consumption and CO2 emissions. Centralized management, supported by near-real-time data across facilities, can streamline operations. Ultimately, a comprehensive and customizable program empowers building operators to proactively monitor and enhance efficiency, ensuring long-term sustainability and operational effectiveness. By prioritizing these strategies, cities can pave the way for a smarter and more sustainable future.

Description

Gathering data across various devices, networks, and servers can be quite intricate and may incur significant costs. ConnexinOS offers a robust and scalable IoT platform that streamlines the process of data aggregation and integration. Essentially, it consolidates diverse datasets into one unified view, simplifying the oversight of urban areas and communities. It enables the collection of information from any device or network, ensuring that different datasets can communicate effectively. By integrating varied sources into a singular platform, it provides actionable insights based on standard operating procedures, leveraging advanced AI and machine learning technologies. Onboarding and managing devices is a straightforward process, granting users comprehensive control and the option for self-service. Additionally, it facilitates real-time monitoring and alerts based on events and established procedures. The platform also normalizes data from disparate sources so they can operate in harmony. With fully-featured user role-based access controls, security remains a top priority, ensuring sensitive information is protected. Ultimately, this creates an environment where cities can thrive through improved data management.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Sigfox No 

Integrations

Sigfox Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

AT&T Business

Founded

1983

Country

United States

Website

www.business.att.com/categories/smart-cities.html

Vendor Details

Company Name

Connexin

Founded

2006

Country

United Kingdom

Website

www.connexin.co.uk/connexin-os-iot-platform/

Product Features

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

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