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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

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Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. This allows you to act on data locally and aggregate and filter device data. To interpret a metric, more than one data point is used, which is a stateful calculation. So how to detect a failure?

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What is smart transportation?

IBM Big Data Hub

The rise of interconnected technologies like the Internet of Things (IoT), electric vehicles, geolocation and mobile technology have made it possible to orchestrate how people and goods flow from one place to another, especially in densely-packed urban areas. The solution is smart transportation.

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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

By aggregating data across departments and information silos, it can reduce the number of asset alerts that maintenance managers must deal with and ensure their accuracy. Historical and real-time data collected from IoT devices and analytical and diagnostic tools can help extend asset uptime.