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What is Kazuhm?

By the year 2025, it is anticipated that the Internet of Things (IoT) will comprise 41 billion devices capable of producing over 76 zettabytes of data. In response, organizations are increasingly adopting IoT strategies aimed at boosting manufacturing productivity and prioritizing employee safety. A variety of industries, such as utilities, agriculture, energy, and healthcare, are harnessing interconnected sensor networks to collect a wide range of observable and actionable insights. Nevertheless, to fully realize the benefits of IoT projects, it is essential for data to be processed rapidly enough to impact decision-making in microseconds. Furthermore, managing the costs tied to data processing and storage is vital for organizations seeking a solid return on investment. To address these challenges, a groundbreaking distributed computing technology known as Kazuhm has emerged, designed to process IoT data directly within networks on the originating devices, which facilitates ultra-low latency and lowers costs compared to conventional cloud or edge solutions. This cutting-edge method not only streamlines data management but also equips companies to react to real-time information with greater efficiency and agility. Ultimately, the integration of such technologies could redefine how businesses operate and respond to the dynamic demands of their industries.

What is Insight Connected Platform?

An all-encompassing platform for identifying and mitigating health risks is crucial in today's world. Accessing real-time information is imperative to effectively manage the spread of diseases. By leveraging IoT technology, machine learning, and sophisticated data analysis, we can significantly improve health and safety monitoring processes. In urban settings—spanning from corporate workplaces to theme parks—overseeing public health has become an urgent issue globally. Establishing a robust disease prevention framework is essential for creating a secure environment for individuals while ensuring business continuity. Insight's Connected Platform for Detection and Prevention presents a flexible and scalable solution that aims to foster smarter and safer public spaces. This innovative platform aggregates sensor data into a unified dashboard, providing instant access to health indicators. The application utilizes machine learning to generate alerts and recommendations tailored to your organization's unique requirements, thereby contributing to a healthier community. Furthermore, the incorporation of data-driven insights allows organizations to take proactive measures against potential health crises. Ultimately, this comprehensive approach can lead to enhanced public safety and well-being.

Media

Media

Integrations Supported

Azure NetApp Files
Chata.ai
Intercede MyID
Microshare
NetApp Cloud Insights
NetApp Virtual Storage Console
Zmanda

Integrations Supported

Azure NetApp Files
Chata.ai
Intercede MyID
Microshare
NetApp Cloud Insights
NetApp Virtual Storage Console
Zmanda

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

Kazuhm

Date Founded

2017

Company Location

United States

Company Website

www.kazuhm.com

Company Facts

Organization Name

Insight

Date Founded

1988

Company Location

United States

Company Website

insight.com

Categories and Features

IoT

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

Categories and Features

IoT

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

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