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AWS re:Invent 2023 Amazon Redshift Sessions Recap

Flipboard

Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more.

AWS 140
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How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning Blog

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

AWS 123
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203
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Perform generative AI-powered data prep and no-code ML over any size of data using Amazon SageMaker Canvas

AWS Machine Learning Blog

SageMaker Canvas is revolutionizing the way businesses approach data and AI, putting the power of predictive analytics and data-driven decision-making into the hands of everyone. Solutions Architect at AWS. Polaris Jhandi is a Cloud Application Architect with AWS Professional Services.

ML 126
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Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment

AWS Machine Learning Blog

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. It’s an easy way to run analytics on IoT data to gain accurate insights.

AWS 110
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Generate actionable insights for predictive maintenance management with Amazon Monitron and Amazon Kinesis

AWS Machine Learning Blog

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. Your field engineers and operators can directly use the app to diagnose and plan maintenance for industrial assets.

AWS 90
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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types. Most recently, JP Morgan built a ‘Mesh’ on AWS and locked its scalability fortune on a decentralized architecture. Data Management before the ‘Mesh’.