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

CIO Business Intelligence

But things go awry and when they do, Proctor & Gamble now employs its Hot Melt Optimization platform to catch snags and get the process back on track. The data is fed into analytics platforms and in-house developed code to identify errors or anomalies that must be corrected in real-time — while not taking the manufacturing offline.

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

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. A testament to the rising role of optimization in logistics. Why are logistics companies so interested in optimization?

Big Data 275
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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale is a challenge. “We

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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. have expanded the reach of the race to a new generation of fans and ensured they’re able to continually optimize race operations. “We

IoT 98
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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. Supply chain optimization : Oil and gas supply chains are very complex.

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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. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.