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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. Watermarks A watermark is a mechanism used to track and measure the progress of event time in a data stream. To interpret a metric, more than one data point is used, which is a stateful calculation.

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The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

In the article, you will find a number of areas where Big Data in education can be applied. Predicting academic performance is one of the key research topics in Big Data in education. A selection of information sources, data acquisition procedures, information processing algorithms. Data collection. To Begin with….

Big Data 101
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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Chaffetz’s numbers via a comparison with Planned Parenthood’s own annual reports.