Apache Kafka AWS ML 
AWS Machine Learning Blog
APRIL 19, 2023
Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. Apache Flink is a popular framework and engine for processing data streams. 0 … 1248 Nov-02 12:14:31 32.45
AWS Machine Learning Blog
OCTOBER 9, 2024
Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.
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NOVEMBER 21, 2023
In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS). Here is a quick guide on how to run MATLAB on AWS. Installation of AWS Command-Line Interface (AWS CLI) , AWS Configure , and Python3. Set up AWS Configure to interact with AWS resources.
AWS Machine Learning Blog
MARCH 30, 2023
Bundesliga and AWS have collaborated to perform an in-depth examination to study the quantification of achievements of Bundesliga’s keepers. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies. In other words, a shot with an xSaves value of 0.9
AWS Machine Learning Blog
SEPTEMBER 11, 2024
In this post, we demonstrate how to build a robust real-time anomaly detection solution for streaming time series data using Amazon Managed Service for Apache Flink and other AWS managed services. This solution employs machine learning (ML) for anomaly detection, and doesn’t require users to have prior AI expertise.
AWS Machine Learning Blog
MARCH 30, 2023
To ensure real-time updates of ball recovery times, we have implemented Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a central solution for data streaming and messaging. The new Bundesliga Match Fact is the result of an in-depth analysis by a team of football experts and data scientists from the Bundesliga and AWS.
AWS Machine Learning Blog
NOVEMBER 3, 2023
m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). We’ve implemented an AWS Lambda function with the specific task of retrieving the calculated shot speed from the relevant Kafka topic.
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