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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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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. Streaming and broadcasting. Track fans’ behavior.

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Build a dynamic rules engine with Amazon Managed Service for Apache Flink

AWS Big Data

It could be from an Internet of Things (IoT) sensor, log data ingestion, or even shopper impression data. It could be from a variety of places, but for this demonstration, we use streaming data (IoT sensor data) as our input data. The following diagram illustrates an example how the broadcast state is connected.

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Porsche Carrera Cup Brasil gets real-time data boost

CIO Business Intelligence

Defining a strategic relationship In July 2023, Dener Motorsport began working with Microsoft Fabric to get at that data in real-time, specifically Fabric components Synapse Real-Time Analytics for data streaming analysis, and Data Activator to monitor and trigger actions in real-time. The next step is to engage with the fans,” he says. “We

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

AWS Big Data

The condition monitoring and rule evaluation system is built on AWS, using AWS analytics services. AWS IoT Greengrass provides prebuilt components that can be deployed to the edge. In this section, we dive deeper into the keyed state and broadcast state in Apache Flink and how they’re used to build the Krones rule engine.

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How Edge as a Service is shaping the future of fan engagement

CIO Business Intelligence

By embracing technologies such as artificial intelligence (AI), the Internet of Things (IoT) and digital twins, A.S.O. Today, you a see a television broadcast that’s full of live, rich data about rider speeds and time gaps, and you’ve got second screen apps like Race Center that allow you to follow every moment of the race.”

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