Remove AWS Remove Natural Language Processing Remove System Architecture
article thumbnail

Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

We walk through the journey Octus took from managing multiple cloud providers and costly GPU instances to implementing a streamlined, cost-effective solution using AWS services including Amazon Bedrock, AWS Fargate , and Amazon OpenSearch Service. Along the way, it also simplified operations as Octus is an AWS shop more generally.

AWS 115
article thumbnail

Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

Flipboard

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

AWS 107
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Innovating at speed: BMW’s generative AI solution for cloud incident analysis

AWS Machine Learning Blog

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Specifically, BMW uses Amazon Bedrock Agents to make remediating (partial) service outages quicker by speeding up the otherwise cumbersome and time-consuming process of root cause analysis (RCA).

AWS 120
article thumbnail

Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

This solution is available in the AWS Solutions Library. The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. AWS Lambda – AWS Lambda provides serverless compute for processing.

AWS 122
article thumbnail

Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning Blog

The emergence of generative AI agents in recent years has contributed to the transformation of the AI landscape, driven by advances in large language models (LLMs) and natural language processing (NLP). New agents can be added to handle specific types of messages without changing the overall system architecture.

AI 98
article thumbnail

Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

AWS 102
article thumbnail

Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. Using the AWS Management Console , you can create a recording configuration and link it to an Amazon IVS channel. In this section, we briefly introduce the system architecture.

AWS 120