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IoT and Connected Devices

While new sensor, mobile and wireless technologies are driving the evolution of the internet of things (IoT), the true business value of the IoT lies in the data analytics and insights from the edge that such analytics can provide. Insights can be extracted from IoT data and enable meaningful user experiences. The potential of sensors lies in their ability to gather data about the physical environment, which can then be analyzed or combined with other forms of data to detect patterns.

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Video feeds

Video Feeds

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Mobile Geo-location Data

Mobile geolocation data

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Product Usage Data

Product usage data, which isn’t necessarily sensor data

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Social Media Data

Social media data, which can be collated with IoT data

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Log Files

computer-generated records in software applications

We help companies to derive insights from IoT data for various use cases

IOT data can be used to understand how users are actually using a product. This can range from a smart coffee maker to a high-end router to a fighter plane engine. The analysis of such data had multiple usages:

  1. Preventive maintenance – Enable timely interventions prior to a fault in the machine and avoid performance degradation
  2. Product Management – Understand usage of various features in the product to determine roadmap
  3. Performance optimization – help the user to optimize power / fuel usage etc.
  4. Reliability Improvement – understand the points of failure to improve the product quality with log analysis

IOT data can be used to understand how users are actually using a product. This can range from a smart coffee maker to a high-end router to a fighter plane engine. The analysis of such data had multiple usages:

  1. Customer behaviour study using video in stores – Footfall and time spent on various store sections

IoT data can be used to understand how users are actually using a product. This can range from a smart coffee maker to a high-end router to a fighter plane engine. The analysis of such data had multiple usages:

  1. Video Analytics to detect anomalies
  2. Sensors to detect objects, movements, anomalies
  3. Fleet monitoring and route optimization
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