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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
Managing properties and assets has historically been a challenging, high-risk endeavor that often involves cumbersome procedures. By leveraging existing cameras, sensors, and devices, we are able to extract valuable analytics that enhance business operations. Our advanced AI technology processes this information to pinpoint activities related to safety, health, and compliance, enabling the execution of automated tasks. We have crafted a comprehensive suite of solutions powered by KEN AI™ specifically aimed at improving health, safety, and emergency services. These applications are designed to be compatible with IoT and 5G technologies, featuring open APIs for seamless integration. The use of AI Analytics spans various domains, including traffic management, crowd control, airport operations, and emergency response services. Our video technology, enhanced by AI, is specifically designed to safeguard your most valuable assets—your workforce. KEN AI actively identifies and mitigates safety risks in real-time during operations. Furthermore, our APIs are equipped to detect irregularities both in the incidents recorded and within the IoT sensors themselves, ensuring a comprehensive approach to safety management. By integrating these innovative solutions, we aim to revolutionize the asset management landscape.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
AT&T Business
Founded
1983
Country
United States
Website
www.business.att.com/categories/smart-cities.html
Vendor Details
Company Name
Intelense
Founded
2018
Country
Canada
Website
www.intelense.com/applications
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization