Remove Digital Transformation Remove Internet of Things Remove Measurement Remove Predictive Analytics
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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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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). Now things are the Internet.”. trillion by 2030.

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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. We started working on Tour de France in 2015 and, when we began, the digital capability of the event was very limited,” says Peter Gray, Senior Vice President, Advanced Technology Group (Sport) at NTT.

IoT 95
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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. Improving the speed of the data lifecycle can have a measurable impact — and not just on the bottom line. Data Lifecycle Management: The Key to AI-Driven Innovation.

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Industry X.0 – Made Real, Practical Insights Today enabling Profits Tomorrow

Cloudera

Manufacturing’s digital transformation growth is truly impressive considering it’s delivering value with explosive growth rates. These insights will deliver dashboards, reports and predictive analytics that drive high-value manufacturing use cases. Lack of Clear ROI . Dr. Irene J.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

Fresenius’s machine learning model uses electronic health records comprising intradialytic blood pressure measurements and multiple treatment- and patient-level variables. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. Using advanced data analytics techniques, predictive analytics can help identify inefficiencies, bottlenecks and quality issues proactively.