Remove Digital Transformation Remove Internet of Things Remove IoT Remove Predictive Modeling
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Otis takes the smart elevator to new heights

CIO Business Intelligence

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. The platform tier encapsulates the common entry point — an IoT event hub that processes messages sent to the cloud from the edge in real-time.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 5) The emergence of Edge-to-Cloud architectures clearly began pushing Industry 4.0 will look like).

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

AWS Big Data

Real-time streaming data technologies are essential for digital transformation. These services help customers bring data to their applications and models, making them smarter. For more details, refer to Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis.

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