Remove Analytics Remove Events Remove IoT 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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Accelerating Insight and Uptime: Predictive Maintenance

Cloudera

While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective. In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns.

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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

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”.

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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). will look like).

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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”.

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How Big Data Has Become Integral to Commercial Fleet Success

Smart Data Collective

Intrinsically, it can process information on a large scale, utilizing automation and smart analytics tools. A critical component of smarter data-driven operations is commercial IoT or IIoT, which allows for consistent and instantaneous fleet tracking. The global IoT fleet management market is expected to reach $17.5

Big Data 101