Remove Data Collection Remove Data-driven Remove IoT Remove Manufacturing
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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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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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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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AI-First Benefits: 5 Real-World Outcomes

Cloudera

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Such human frailties are not an issue for AI-driven systems. Faster decisions .

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

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A Vision of Radical Networking Simplicity

CIO Business Intelligence

They are connected industrial and Internet of Things (IoT) experiences that drive optimization of operational productivity and flexibility without compromising security. In manufacturing and supply chain operations, a unified experience can facilitate real-time data collection, inventory management, and logistics tracking.