Remove Events Remove Internet of Things Remove Measurement Remove Metrics
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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

The time when people had to watch a one-sided sporting event is long gone, viewers can now play the game alongside through the mode of esports. However, limitations with standard analytical models t can keep them from assessing and recording those metrics. The post How the Internet of Things and AI will Transform Sports Business?

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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

My strong interest hasn’t diminished, and neither has Splunk’s developments and product releases in that space, as seen in observability’s prominent mention within many of Splunk’s announcements at this year’s.conf23 event.

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Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale. Watermarks A watermark is a mechanism used to track and measure the progress of event time in a data stream.

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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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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. The streaming records are read in the order they are produced, allowing for real-time analytics, building event-driven applications or streaming ETL (extract, transform, and load).

Analytics 113
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5G use cases that are transforming the world

IBM Big Data Hub

Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer. This makes 5G’s Block Error Rate (BER)—a metric of error frequency—much lower.

IoT 98
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.