Tag: Amazon QuickSight
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Use Amazon SageMaker Canvas to build machine learning models using Parquet data from Amazon Athena and AWS Lake Formation | Amazon Web Services
Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet...
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 5: Hosting | Amazon Web Services
In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we have helped hundreds of...
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio | Amazon Web Services
In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of...
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 1 | Amazon Web Services
Cost optimization is one of the pillars of the AWS Well-Architected Framework, and it’s a continual process of refinement and improvement over the span...
Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack | Amazon Web Services
Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP)...
Publish predictive dashboards in Amazon QuickSight using ML predictions from Amazon SageMaker Canvas
Understanding business trends, customer behavior, sales revenue, increase in demand, and buyer propensity all start with data. Exploring, analyzing, interpreting, and finding trends in...
Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake | Amazon Web Services
Healthcare data is complex and siloed, and exists in various formats. An estimated 80% of data within organizations is considered to be unstructured or...
Automate the deployment of an Amazon Forecast time-series forecasting model
Time series forecasting refers to the process of predicting future values of time series data (data that is collected at regular intervals over time)....
Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment
This is a guest post co-written with Moulham Zahabi from Matarat. Probably everyone has checked their baggage when flying, and waited anxiously for their...
Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS
In football, ball possession is a strong predictor for team success. It’s hard to control the game without having control over the ball. In...
Bundesliga Match Fact Keeper Efficiency: Comparing keepers’ performances objectively using machine learning on AWS
The Bundesliga is renowned for its exceptional goalkeepers, making it potentially the most prominent among Europe’s top five leagues in this regard. Apart from...
Remote monitoring of raw material supply chains for sustainability with Amazon SageMaker geospatial capabilities
Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest...
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