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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

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What is asset reliability?

IBM Big Data Hub

For example, a piece of equipment operating at 100% reliability might only be 90% available if 10% of the time was used to perform critical, planned maintenance necessary to keep it running. Both KPIs help predict how assets will perform and assist managers in planning preventive and predictive maintenance.

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The most valuable AI use cases for business

IBM Big Data Hub

But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system. AI is not yet loading the dishwasher after supper—but can help create a legal brief, a new product design, or a letter to grandma.

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

CIO Business Intelligence

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. P&G can now better predict finished paper towel sheet lengths. Smart manufacturing at scale is a challenge.

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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Those are questions that every product team needs to think about. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

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What is vibration analysis and how can it help optimize predictive maintenance?

IBM Big Data Hub

It’s an essential component of predictive maintenance programs, allowing technicians to detect developing problems in equipment before they lead to costly unplanned downtime or catastrophic failures. And since rotating and reciprocating components (e.g., motors, compressors, pumps, etc.)

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

This Earth Day, we are calling for action to conserve our scarcest resource: the planet. Using AI, business teams can “clean” data, manage through gaps, and report across different frameworks. The world is behind on addressing climate change. At IBM, we act as “client zero” for some of our own solutions.

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