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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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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. You can collect metrics and events and analyze them for operational efficiency.

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A Window Into the Future of Data in Motion and What It Means for Businesses

CIO Business Intelligence

At the same time, 5G adoption accelerates the Internet of Things (IoT). Given that the value of insight decreases over time, the more time that has lapsed between a business event, the less time an organisation has to analyse the data that affects business-critical decisions.

IoT 98
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A Window Into the Future of Data in Motion and What It Means for Businesses

Cloudera

At the same time, 5G adoption accelerates the Internet of Things (IoT). Given that the value of insight decreases over time, the more time that has lapsed between a business event, the less time an organisation has to analyse the data that affects business-critical decisions.

IoT 94
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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

NHL EDGE technology in the puck and players’ sweaters (jerseys) generate thousands of data points every second for the NHL, which can be analyzed by AWS to predict likely outcomes for key events like face-offs. Customers with real-time streaming data strategy are at the cutting edge of providing innovative products with generative AI.

IoT 56
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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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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

From up-to-date value figures to critical warranty, software licenses and lease information (as well as the latest maintenance and repair analytics), CMMS capabilities make critical asset information readily accessible in the event of an audit.