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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO

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.

IoT 246
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Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is IoT or Internet of Things? What is Machine Learning?

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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How are IoT and Machine Learning Changing Everyone’s Lives?

Openxcell

Impact of IoT and ML: IoT and Machine Learning were mere technologies that people heard emerging to simplify people’s life. In the recent rise of the popularity of these technologies, IoT or ML has an easy way out for every possible task. . How are IoT and Machine Learning Changing Everyone’s Lives?

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Applications and innovations in the Internet of Things (IoT)

Hacker Earth Developers Blog

The Internet of Things (IoT) is a system of interrelated devices that have unique identifiers and can autonomously transfer data over a network. IoT ecosystems consist of internet-enabled smart devices that have integrated sensors, processors, and communication hardware to capture, analyze, and send data from their immediate environments.

IoT 283
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Improve Underwriting Using Data and Analytics

Cloudera

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. According to a recent McKinsey report , digitized underwriting can improve loss ratios three to five points. Step two: expand machine learning and AI.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Deep Learning.