Infor IoT Description
Infor Internet of Things, (IoT), provides secure sensor data ingestion at scale from anywhere. Infor IoT synchronizes sensor data with Infor CloudSuite™, EAM information, providing deeper context for asset health monitoring. This contextual information is used to improve exception detection, workflows and reporting, as well as machine learning and data analytics. The Infor Data Lake stores the sensor readings of Infor IoT, which allows for richer IoT data consumption. You can also augment device data with metadata and attributes that allow advanced search and device management capabilities. The rule engine allows you to monitor telemetry in real-time, create device templates to simplify device configuration, and leverage a flexible condition editor and action rule editor.
Infor IoT Alternatives
Lumada IIoT
Integrate sensors to IoT applications and enrich sensor data by integrating control system and environmental data. This data can be integrated with enterprise data in real-time and used to develop predictive algorithms that uncover new insights and harvest data for meaningful purposes. Analytics can be used to predict maintenance problems, analyze asset utilization, reduce defects, and optimize processes. Remote monitoring and diagnostics services can be provided by using the power of connected devices. IoT Analytics can be used to predict safety hazards and comply to regulations to reduce workplace accidents.
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C3 AI Sensor Health
C3 AI®, Sensor Health ensures operational effectiveness of IoT device and network infrastructure throughout the deployment and operation life cycles. Visualize sensor status, deployment progress, geographic regions of concern, as well as a prioritized view to sensors with identified health problems. Identify sensor deployment issues, identify the source of sensor malfunctions and optimize field service. Forecast future deployment progress. Ensure that device installation information is consistent across cloud and source data systems. To optimize field service and problem resolution, monitor and analyze the physical integrity, functionality, communication, and functionality of sensor devices. Visualize the planned sensor deployment, actual deployment and provisioning, trends and issues, as well as service priorities. Pre-formatted and custom reports are available to present analyses and summarize the results, including failure analysis and health analysis.
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Thingsboard
It supports both cloud and on-premises deployments and enables device connectivity using industry-standard IoT protocols, including MQTT and CoAP. ThingsBoard is a combination of scalability and fault-tolerance, performance, and ensures that you never lose your data. Rich server-side APIs allow you to provision, monitor and control IoT entities securely. You can define relationships between your devices, customers, assets, and any other entities. Telemetry data can be stored in a scalable and fault-tolerant manner. You can visualize your data using built-in widgets or custom dashboards. Share dashboards with customers. Define data processing rule chains. Normalize and transform your device data. Alarms can be raised for incoming telemetry events and attribute updates, as well as device inactivity, user actions, and device inactivity. You can build your ThingsBoard cluster to get maximum scalability with microservices architecture. ThingsBoard supports both cloud and on premises deployments.
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AWS IoT Analytics
IoT data is not structured and therefore difficult to analyze using traditional analytics and business intelligence tools designed to process structured data. IoT data is often gathered from devices that record very noisy processes (such temperature, motion, and sound). These devices often have large gaps and corrupted messages. This makes it difficult to analyze the data. IoT data can often only be meaningful when viewed in conjunction with third-party data inputs. Vineyard irrigation systems often combine moisture sensor data from the vineyard with rainfall data from the vineyard to aid farmers in determining when to water their crops. This allows for better water usage and maximizes harvest yield. AWS IoT Analytics automates all the tedious steps required to analyze data from IoT devices.
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Company Details
Company:
Infor
Year Founded:
2002
Headquarters:
United States
Website:
www.infor.com/products/infor-iot
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