Remove Data Analytics Remove Digital Transformation Remove Internet of Things Remove Predictive Analytics
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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

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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

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. Now things are the Internet.”. trillion by 2030.

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

IBM Big Data Hub

The use of digital twins is one such innovation. In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. In this context, a maintenance team would create a digital twin of a piece of equipment or machinery.

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Data, The Unsung Hero of the Covid-19 Solution

Cloudera

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics.

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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.