Remove Contextual Data Remove Modeling Remove Publishing
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Oracle launches a new sustainability app for Fusion Cloud EPM

CIO Business Intelligence

Fusion Data Intelligence — which can be viewed as an updated avatar of Fusion Analytics Warehouse — combines enterprise data, ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.

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Business AI will change the way businesses are run

CIO Business Intelligence

We have agreements with more than 25,000 customers to use their data in an anonymized way to train our own models. Using this data to contextualize generative AI models results in very task-specific relevant outcomes for business users.

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Achieving Trusted AI in Manufacturing

Cloudera

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. Eliminate data silos.

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Enabling Integration and Interoperability Across the Grid with Knowledge Graphs

Ontotext

Current electricity data standards EU legislation, such as REMIT , charges the European Network of Transmission System Operators for Electricity (ENTSO-E) with collecting electricity market data from TSOs. TSOs must provide this data in a format from the IEC’s family of standards known as the Common Information Model (CIM).

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What Makes Data-in-Motion Architectures a Must-Have for the Modern Enterprise

Cloudera

Enterprise stream management is the ability to manage an intermediary that can broker real-time data between any number of “publishing” sources and “subscribing” destinations. This capability converts large volumes of raw data into contextualized data that is ready for use in a business process.