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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. That is a very low number.

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McDermott data innovations fuel business transformation

CIO Business Intelligence

The Houston-based oil and gas engineering company has developed a number of sustainability products to meet the needs of its energy customers, thanks to its Digital Innovation Center in India, which started more than three years ago. But for Dave, the key ingredient for innovation at McDermott is data. Vagesh Dave.

Data Lake 104
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Otis takes the smart elevator to new heights

CIO Business Intelligence

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. From the edge to the cloud.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Real-time streaming data technologies are essential for digital transformation.

IoT 56
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Introducing Cloudera DataFlow (CDF)

Cloudera

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 73
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Modern Data Architecture for Telecommunications

Cloudera

But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust. . Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The challenges.