Remove Analytics Remove Events Remove Internet of Things Remove Predictive Modeling
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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

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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. Analytics is really important,” says Leonard, who declined the specify the analytics used but noted that it is Microsoft-friendly.

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

CIO Business Intelligence

One of the ways to accelerate time to insight is by performing analytics on real-time data. Data in motion consists of three distinct elements: data flow, message streams, and stream processing and analytics. . At the same time, 5G adoption accelerates the Internet of Things (IoT). This is the focus of “data in motion”.

IoT 86
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A Window Into the Future of Data in Motion and What It Means for Businesses

Cloudera

One of the ways to accelerate time to insight is by performing analytics on real-time data. Data in motion consists of three distinct elements: data flow, message streams, and stream processing and analytics. . At the same time, 5G adoption accelerates the Internet of Things (IoT). This is the focus of “data in motion”.

IoT 99
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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. This is critical in our massively data-sharing world and enterprises. will look like).

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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 55
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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

In the IoT era—with everything from valves to vehicles connected by sensors and systems—maintenance operators now have the opportunity to incorporate advanced analytics and artificial intelligence (AI) into everything they do.