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What is xyzt.ai?

xyzt.ai stands at the intersection of spatial analysis and time series information, all showcased through an intuitive dashboard interface. You don’t have to handle large data sets to take advantage of the xyzt.ai platform, which is crafted to prepare your operations for anticipated future needs. By linking your own data and merging different sources, you can perform thorough analyses effortlessly. This platform offers a streamlined approach to maximize your data and sensor investments effectively. Enhance collaboration by embedding dashboards and distributing detailed reports among your team. Our self-service analytics tool empowers analysts to extract and share insights from diverse data sources seamlessly. If you want to learn how xyzt.ai can elevate your organization, we invite you to schedule a live demonstration with one of our experts. In this session, we will explore your unique requirements, answer any questions you might have, and showcase the tailored benefits of our platform for your organization. Simply fill out the form to request a demo, and a team member will reach out to you quickly to finalize the arrangements. Furthermore, our specialists are enthusiastic about assisting you in unlocking the complete potential of your data and ensuring you achieve your goals efficiently. By leveraging our platform, you can transform your data into actionable insights that drive your organization's success.

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.

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

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

xyzt.ai

Company Location

Belgium

Company Website

www.xyzt.ai

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

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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