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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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Building an Open Data Processing Pipeline for IoT

Cloudera

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera. Data science is generally considered to be an offline practice, but often IoT solutions demand insights and predictions in real-time. Pushing actionable predictions to the edge.

IoT 40
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The Future of AI in the Enterprise

Jet Global

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. 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

There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. 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.