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An AWS & Stackery Webinar You Won’t Want to Miss

Stackery

We’re thrilled to share that registration is officially open for a fantastic April webinar from AWS and Stackery. You’ll also get a peek under MasterStream’s technical hood and discover the AWS learnings, development scalability, and acceleration the team was able to gain through this process. Webinar Details.

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Extract Data from an Image Using AWS Textract

Cloud That

About AWS Textract. Architecture Diagram. Steps to Setup AWS S3. About AWS Textract. Amazon Textract is a highly scalable machine learning (ML) service that automatically extracts text, handwriting, and data from documents like images, pdf, etc. Architecture Diagram. Steps to Setup AWS S3. Use Cases.

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Accelerating Your Digital Journey with Adobe Experience Manager and AWS

Perficient

In this post, we’ll walk through how Amazon Web Services (AWS) and Perficient, a Platinum Partner for Adobe, can help customers accelerate their Digital Content Management with Adobe Experience Manager. AEM Platform Overview A standard AEM architecture consists of three environments: author, publish, and dispatcher.

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How to Create Microservices-based Applications for AWS

TIBCO - Connected Intelligence

If you aren’t able to rapidly adapt the services and capabilities of your digital platform to stay aligned with the needs of the business, then your underlying application architecture needs to be evolved so that it becomes more agile. One way to build this agility is by evolving to a microservices architecture. Click To Tweet.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

The following diagram illustrates the solution architecture. Prerequisites To implement the solution provided in this post, you should have the following: An AWS account and familiarity with FMs, Amazon Bedrock, Amazon SageMaker , and OpenSearch Service. Virginia) and US West (Oregon) AWS Regions. Review and prepare the dataset.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. You can also use the StartIngestionJob API to trigger the sync via the AWS SDK.

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Enterprises Can Fly Wisely with AI on Kubernetes in the Cloud

d2iq

As our guest speaker, Forrester Research Principal Analyst Lee Sustar explains in a recent webinar entitled “ Three Trends Driving Cloud-Native Adoption ,” cloud-native technology is in a state of rapid and continual change, and organizations must adopt a cloud-native Kubernetes infrastructure that allows for continual change.