Remove Business Objectives Remove Cost-Benefit Remove Internet of Things Remove Metrics
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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. This not only helps businesses avoid regulatory penalties, but it also creates safer operations and improves public perception.

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The Future of AI in the Enterprise

Jet Global

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). Enter business intelligence (or BI) software. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.

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The Future of AI in the Enterprise

Jet Global

The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI). Enter business intelligence (or BI) software. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.

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12 considerations when choosing MES software

IBM Big Data Hub

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

Both of these concepts resonated with our team and our objectives, and so we found ourselves supporting both to some extent. Interestingly, this ad hoc analysis benefits from a single source of truth that is easy to query to allow for quickly querying of raw data alongside the cleanest data (i.e.,