IoT & Predictive Analysis

IoT and Predictive Analysis

Leverage billions of IoT data in Real-Time

The Internet of Things represents an opportunity for companies to cut costs and improve services.  Data from online devices is a precious source of information to optimise consumption, but also to prevent risks (system or equipment failure, etc.). The challenge lies in real-time analysis and use of IoT data, usually extremely massive and diverse.

Making it possible to prepare and analyse large volumes of raw data, Amadea allows companies to add value to all their IoT data.

Leverage billions of IoT Data in Real-Time

The Internet of Things represents an opportunity for companies to cut costs and improve services.  Data from online devices is a precious source of information to optimise consumption, but also to prevent risks (system or equipment failure, etc.). The challenge lies in real-time analysis and use of IoT data, usually extremely massive and diverse.

Making it possible to prepare and analyse large volumes of raw data, Amadea allows companies to add value to all their IoT data.

Predictive Maintenance

Prevent failures thanks to sensor data

In sectors such as industry or transport, the Internet of Things can bring about considerable productivity gains thanks to predictive maintenance and fault detection. Fitting smart sensors means that the equipment’s condition can be monitored using many parameters (average speed, energy consumption, etc.) and breakdowns and failures can be anticipated. The main benefit of predictive maintenance is optimum intervention at the right time on the equipment. As a source of cost reductions, it avoids a “knee-jerk” intervention once the failure has been spotted or early replacement of components that are still in good condition.

However, connected sensors constantly generate large volumes of raw data, that must be turned into a uniform information source that can be used by the company. Designed for real time analysis of all data volumes, Amadea, the ISoft Data Science platform, simplifies the use of sensor data and speeds up predictive maintenance projects.

 

Energy efficiency

Develop your Smart Building services and energy consumption management

The Internet of Things has led to the Smart Building concept that consists of optimising energy consumption in buildings using smart sensors and meters. Not only can individuals make the most of this innovation but also private companies and the public sector. Local authorities, for example, can monitor energy consumption for all their buildings in real time and, thanks to better-tuned consumption control, make energy savings.

User-friendly and able to run all data volumes, ISoft’s Amadea speeds up the analysis and use in real time of data from connected sensors and smart meters. Make the most of the latest progress in Artificial Intelligence to implement services that add value to data from innovative, sturdy and agile sensors.

Predictive Maintenance

Prevent failures thanks to sensor data

In sectors such as industry or transport, the Internet of Things can bring about considerable productivity gains thanks to predictive maintenance and fault detection. Fitting smart sensors means that the equipment’s condition can be monitored using many parameters (average speed, energy consumption, etc.) and breakdowns and failures can be anticipated. The main benefit of predictive maintenance is optimum intervention at the right time on the equipment. As a source of cost reductions, it avoids a “knee-jerk” intervention once the failure has been spotted or early replacement of components that are still in good condition.

However, connected sensors constantly generate large volumes of raw data, that must be turned into a uniform information source that can be used by the company. Designed for real time analysis of all data volumes, Amadea, the ISoft Data Science platform, simplifies the use of sensor data and speeds up predictive maintenance projects.

 

Energy efficiency

Develop your Smart Building services and energy consumption management

The Internet of Things has led to the Smart Building concept that consists of optimising energy consumption in buildings using smart sensors and meters. Not only can individuals make the most of this innovation but also private companies and the public sector. Local authorities, for example, can monitor energy consumption for all their buildings in real time and, thanks to better-tuned consumption control, make energy savings.

User-friendly and able to run all data volumes, ISoft’s Amadea speeds up the analysis and use in real time of data from connected sensors and smart meters. Make the most of the latest progress in Artificial Intelligence to implement services that add value to data from innovative, sturdy and agile sensors.

Amadea for Real-Time analysis of IoT data

SPEED UP YOUR DATA PREPARATION

LEVERAGE YOUR DATA HISTORIES

CREATE “REAL-TIME” MONITORING SERVICES

Analysis of IoT data implies crossing mass data, generated by sensors from different suppliers. With Amadea, transform large volumes of raw data into a usable information source.

Forecast and manage risks thanks to predictive analysis. Easily cross the data from your smart devices against all available data histories, identify anomalies and anticipate failures in your systems and equipment.

With Amadea, use IoT data in real time. In-house or for customers, develop real time activity monitoring services (industrial processes, energy consumption, mapping, etc.).

Amadea for Real-Time analysis of IoT data.

SPEED UP YOUR DATA PREPARATION

Analysis of IoT data implies crossing mass data, generated by sensors from different suppliers. With Amadea, transform large volumes of raw data into a usable information source.

LEVERAGE YOUR DATA HISTORIES

Forecast and manage risks thanks to predictive analysis. Easily cross the data from your smart devices against all available data histories, identify anomalies and anticipate failures in your systems and equipment.

CREATE “REAL-TIME” MONITORING SERVICES

With Amadea, use IoT data in real time. In-house or for customers, develop real time activity monitoring services (industrial processes, energy consumption, mapping, etc.).

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USE CASES

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