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Ratings and Reviews 0 Ratings
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What is Intelense KEN AI?
Historically, the management of properties and assets has posed significant challenges and risks, often characterized by complex processes. By utilizing pre-existing cameras, sensors, and devices, we can derive insightful analytics that significantly improve operational efficiency. Our state-of-the-art AI technology analyzes this data to identify activities concerning safety, health, and compliance, which allows for the automation of various tasks. We have developed an extensive range of solutions driven by KEN AI™, specifically designed to enhance health, safety, and emergency services. These applications are fully compatible with IoT and 5G technologies and come equipped with open APIs for easy integration. The scope of AI Analytics encompasses multiple areas, including traffic management, crowd control, airport operations, and emergency response systems. Our AI-enriched video technology is particularly focused on protecting your most critical asset—your workforce. KEN AI continuously monitors and addresses safety risks in real time during operations. Additionally, our APIs are capable of identifying anomalies both in recorded incidents and within the IoT sensors, providing a thorough approach to safety management. The integration of these cutting-edge solutions is set to transform the future of asset management significantly. Ultimately, our mission is to create a safer and more efficient environment for all stakeholders involved.
What is AT&T Smart Cities?
Promoting progress in key sectors such as transportation, lighting, parking, security, environmental sustainability, and infrastructure is of utmost importance. Utilizing innovations from the Internet of Things (IoT) enables cities to markedly improve service delivery and elevate the quality of life for their inhabitants. The integration of data analytics within smart city technologies is essential for guiding urban planning and future growth initiatives. By strategically incorporating technology, cities can effectively reduce energy usage, waste, and expenditures while advocating for sustainable practices. This comprehensive strategy not only leads to decreased energy consumption throughout the entire asset portfolio but also enhances operational adaptability through the use of near-real-time IoT data. Big data analytics can yield valuable insights that inform decision-making processes, while consistent maintenance of buildings and facilities can be accomplished through efficient scheduling practices. Moreover, switching to LED lighting presents a viable solution for significantly diminishing energy usage and lowering CO2 emissions. Additionally, a centralized management system that leverages near-real-time data across various facilities can optimize operations. Ultimately, a robust and adaptable program gives building operators the tools necessary to proactively monitor and enhance efficiency, thereby promoting long-term sustainability and effective operations. By focusing on these strategies, cities can not only advance towards a smarter future but also foster a more sustainable environment for generations to come.
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
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
Intelense
Date Founded
2018
Company Location
Canada
Company Website
www.intelense.com/applications
Company Facts
Organization Name
AT&T Business
Date Founded
1983
Company Location
United States
Company Website
www.business.att.com/categories/smart-cities.html
Categories and 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