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Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

Computer vision, AI, and machine learning (ML) all now play a role. The great thing about the app is it’s very visual and it also has a reasonable amount of customization.” Artificial Intelligence, CIO, Data Management, Data Quality, IT Leadership, Machine Learning, Predictive Analytics

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

CIO Business Intelligence

To address these issues, Proctor & Gamble worked closely with Microsoft to deploy Microsoft’s IoT and Edge analytics platform, its Azure cloud for manufacturing, and its IoT sensors, edge analytics, and machine learning models.

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Predictive analytics: opportunities and limits for the future of finance

Jedox

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. Prior to the dawn of advanced statistical analysis and machine learning, predictive analytics efforts fell into 4 broad categories: Guessing , which is the default that most people revert to. What is Predictive Analytics?

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Asset management vs. parts inventory management: What’s the difference?

IBM Big Data Hub

Examples of non-fixed assets include office supplies, computers, audio-visual equipment and office furniture. Proactive issue resolution: In the Internet of Things (IoT) era, everything from a single valve to a thousand-mile pipeline can be connected to sensors that deliver real-time data on their condition and measure depreciation over time.