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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 AWS IoT Analytics?

The information produced by IoT devices is largely unstructured, which poses significant difficulties for conventional analytics and business intelligence systems that are designed primarily for structured data. These devices collect data from various noisy environments, such as temperature fluctuations, motion detection, and sound levels, resulting in common problems like data gaps, message corruption, and unreliable readings that require extensive cleaning prior to any substantial analysis. Moreover, the value of IoT data often hinges on its integration with external data sources from third parties. For example, irrigation systems in vineyards can improve moisture sensor readings through the inclusion of rainfall data, allowing farmers to refine their water use and boost crop productivity effectively. To facilitate the analysis of data generated by IoT devices, AWS IoT Analytics simplifies each intricate step in the process. This fully managed service operates on a pay-as-you-go basis, allowing it to effortlessly scale to accommodate varying requirements while also streamlining the overall data analysis procedure. By utilizing such automated solutions, companies can more effectively extract critical insights from their IoT data, ultimately leading to better decision-making and improved operational efficiency. In this way, organizations can harness the potential of their IoT investments to drive innovation and growth.

Media

Media

Integrations Supported

Hitachi Visualization Suite

Integrations Supported

AWS App Mesh
AWS IAM Identity Center
Oracle Database@AWS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$3.43 per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site 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

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/iot-analytics/

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

Asset Tracking

Not specified

EAM

Not specified

Equipment Maintenance

Not specified

IoT Analytics

Not specified

IT Asset Management

Not specified

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