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AWS re:Invent 2024: Next-Gen Innovations in AI, Cloud & Data

Analytics Vidhya

The AWS re:Invent 2024 event was packed with exciting updates in cloud computing, AI, and machine learning. AWS showed just how committed they are to helping developers, businesses, and startups thrive with cutting-edge tools.

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AWS at Databricks Data + AI Summit 2025

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

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AWS Lambda: A Convenient Way to Send Emails and Analyze Logs

Analytics Vidhya

convenient Introduction AWS Lambda is a serverless computing service that lets you run code in response to events while having the underlying compute resources managed for you automatically. The post AWS Lambda: A Convenient Way to Send Emails and Analyze Logs appeared first on Analytics Vidhya.

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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

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Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning Blog

The excitement is building for the fourteenth edition of AWS re:Invent, and as always, Las Vegas is set to host this spectacular event. Third, we’ll explore the robust infrastructure services from AWS powering AI innovation, featuring Amazon SageMaker , AWS Trainium , and AWS Inferentia under AI/ML, as well as Compute topics.

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Build an Amazon Bedrock based digital lending solution on AWS

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The loan handler AWS Lambda function uses the information in the KYC documents to check the credit score and internal risk score. The events are logged using Amazon CloudWatch. Prerequisites This project is built using the AWS Cloud Development Kit (AWS CDK). AWS CDK : 2.143.0 Solutions Architect with AWS India.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning Blog

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. On AWS, you can use the fully managed Amazon Bedrock Agents or tools of your choice such as LangChain agents or LlamaIndex agents.

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