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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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Future Proof: Technology Solves for Business Value

CIO Business Intelligence

Business and technology were once seen as separate or distinct, but today they are deeply intertwined. In fact, the days of task-driven technology have vanished, replaced by technology as a vehicle for business growth. Effective leaders pivot and deploy the right technologies to solve for business needs.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). trillion by 2030. RFID), inventory monitoring (SKU / UPC tracking).

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. However, big data and the Internet of Things could give delivery drivers and managers a much better idea of how they can reduce costs due to perished goods.

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10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. The use of digital twins is one such innovation.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Career Relevance. NOTE: This page is a WIP = Work In Progress.). Industry 4.0

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What you need to know about IoT in enterprise and education

CIO Business Intelligence

In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1

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