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Total 4 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is Lumada IIoT?

Design sensors specifically for IoT applications while improving the quality of collected data through the integration of environmental and control system information. This integration must happen in real-time alongside enterprise data, enabling the implementation of predictive algorithms that reveal new insights and maximize the value of your data for meaningful applications. Employ advanced analytics to predict maintenance needs, understand asset utilization, reduce defects, and optimize processes. Leverage the potential of interconnected devices to offer remote monitoring and diagnostic capabilities. Additionally, apply IoT analytics to foresee safety hazards and ensure regulatory compliance, which ultimately contributes to a reduction in workplace accidents. The Lumada Data Integration platform streamlines the rapid development and scaling of data pipelines, amalgamating information from a variety of sources, such as data lakes, warehouses, and devices, while proficiently managing data flows across different environments. By building partnerships with clients and industry stakeholders from diverse sectors, we can accelerate digital transformation, thereby creating new societal value. This collaborative method not only fosters innovation but also promotes sustainable growth in a world that is becoming increasingly interconnected, proving that teamwork is essential for success.

What is Headlight Telesto?

The Telestoâ„¢ software is designed to process data from multiple sensors, resulting in the creation of intricate 3D point clouds alongside high-resolution images and videos. This information is readily available via the Telesto data platform, which can be accessed through any web browser, allowing users to obtain their data conveniently, whether they are in the office, working remotely, or collecting new survey information in the field. By utilizing this software, users can start to build 4D models that incorporate dimensions of space and time, enabling them to track defects in their assets over extended periods and enhance predictive maintenance efforts. The platform is user-friendly, allowing for data analysis where users can incorporate annotations and measurements as necessary. Additionally, Telestoâ„¢ minimizes the requirement for personnel to enter hazardous confined spaces like sewers and culverts, thereby significantly improving operational safety. Thanks to Telestoâ„¢'s reliable Wi-Fi connectivity, devices can seamlessly connect for efficient data transfers and visualizations, optimizing the workflow for all users. This strong connectivity feature also promotes real-time collaboration among team members, enriching the data's usefulness across various applications and ensuring that everyone remains informed and engaged in the process. Ultimately, Telestoâ„¢ is a powerful tool that not only enhances data accessibility but also fosters a safer working environment.

Media

Media

Integrations Supported

Hitachi Visualization Suite

Integrations Supported

AWS Marketplace

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

Hitachi

Company Location

Japan

Company Website

www.hitachi.com/products/it/lumada/global/en/about/index.html

Company Facts

Organization Name

Headlight AI

Date Founded

2017

Company Location

United Kingdom

Company Website

www.headlight.ai/product/telesto/

Categories and Features

Data Pipeline

Not specified

DataOps

Not specified

EAM

Not specified

Industrial IoT

Not specified

Integration

Not specified

IoT

Big Data Analytics
Data Collection
Data Management
Device Management
Performance Management

IoT Analytics

Not specified

Categories and Features

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