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An Intelligent Future for Manufacturing

CIO Business Intelligence

Digitalisation plays a key role in the evolution of manufacturing industries. The integration of ICT into manufacturing technology is transforming the industry to meet these demands and sustain competitiveness in the long term. Another leading manufacturer, BYD , first entered the automotive market in 2003.

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

CIO Business Intelligence

But when tossing away thousands of diapers damaged during the manufacturing process becomes an everyday occurrence, something has to be done to provide relief for the bottom line. That’s when P&G decided to put data to work to improve its diaper-making business. That’s why The Proctor & Gamble Co.

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The DGI publication includes components it thinks should be included in a data governance program. And two decades after the first published data governance framework, a new version was put online. That first and only refresh was on May 3, 2023. Data Governance, IT Governance Frameworks, IT Leadership

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Industry 4.0 : Manufacturers are integrating new technologies, including Internet of Things (IoT) , cloud computing and AI and machine learning, into their production facilities and throughout their operations. Join the IBM Sustainability Community 1 Green transition creates $10.3T

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making.

IoT 79
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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. Errors can originate from various sources, including data collection, integration, models, visualization, governance, and security.

Metrics 130
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How SAP changed Carl Zeiss AG’s view of optical product manufacturing

CIO Business Intelligence

When Carl Zeiss produced his microscope prototype years earlier, he created a high standard for precision and quality, using the most advanced, efficient manufacturing processes of the time. Real-life transformers Time-jump to 2023. It provides a single, transparent data source, improving visibility at every stage of manufacturing.