Remove Data Analytics Remove Data Collection Remove IoT 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

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. But if they wait another three years, they will never catch up.”

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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. It’s faster and more accurate.

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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

A fresh photo, a text message, or a search query contributes to the growing volume of big data. IoT Sensors generate IoT data. Smart devices use sensors to collect data and upload it to the Internet. All in all, big data refers to massive data collections obtained from various sources.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Instead, they’ll turn to big data technology to help them work through and analyze this data.

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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. Combining this data with more classical information such as annual checkups and medical records provides better insight into risks related to health, disability, and life insurance.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Marketing and sales: Conversational AI has become an invaluable tool for data collection.