AWS Machine Learning Blog

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. It will be able to answer questions, generate content, and facilitate bidirectional interactions, all while continuously using internal AWS and external data to deliver timely, personalized insights.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

This post explores a solution that uses the power of AWS generative AI capabilities like Amazon Bedrock and OpenSearch vector search to perform damage appraisals for insurers, repair shops, and fleet managers. These embedding vectors contain the necessary information of the image and the text metadata encoded in numerical representation.

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Flipboard

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Additionally, we show how to use AWS AI/ML services for analyzing unstructured data.

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Towards AI

OCTOBER 4, 2024

this article, we will deploy resources on AWS through Terraform and create a CI/CD pipeline on Gitlab to automate the deployment process. You require the following tools for this project: AWS account and a user account — Preferred cloud computing resources provider that offers a free tier. virtual machines, databases, and containers.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging.

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AWS Machine Learning Blog

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

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AWS Machine Learning Blog

MARCH 12, 2024

In this post, we explore what an audience overlap analysis is, discuss the current technical approaches and their challenges, and illustrate how you can run secure audience overlap analysis using AWS Clean Rooms. With AWS Clean Rooms, you can create a data clean room in minutes and collaborate with your partners to generate unique insights.

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AWS Machine Learning Blog

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. AWS Landing Zone addresses this need by offering a standardized approach to deploying AWS resources.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. Internally, employees can often spend countless hours hunting down information they need to do their jobs, leading to frustration and reduced productivity.

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Flipboard

NOVEMBER 19, 2024

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. This can lead to inefficiencies, delays, and errors, diminishing customer satisfaction.

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AWS Machine Learning Blog

MAY 30, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The framework for connecting Anthropic Claude 2 and CBRE’s sample database was implemented using LangChain.

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Pickl AI

SEPTEMBER 16, 2024

Summary: AWS Lambda enables serverless computing, letting developers run code without managing servers. It offers benefits like automatic scaling and pay-as-you-go pricing, and integration with AWS services enhances its functionality. This article aims to explore AWS Lambda by exploring its functions and how to code with it.

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IBM Journey to AI blog

OCTOBER 26, 2023

In this journey, we are seeing an increased interest in migrating and deploying MAS on AWS Cloud. The growing need for Maximo migration to AWS Cloud Migrating to cloud helps organizations to drive the operational resiliency and reliability, at the same time keeping software up to date with minimal upgrade effort and infrastructure constraint.

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Flipboard

JUNE 26, 2023

In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience. Run the AWS Glue ML transform job.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

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AWS Machine Learning Blog

OCTOBER 30, 2023

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. The workflow steps are as follows: AWS Lambda running in your private VPC subnet receives the prompt request from the generative AI application.

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AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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AWS Machine Learning Blog

SEPTEMBER 30, 2024

In this blog post, we will show you how to leverage AI21 Labs’ Task-Specific Models (TSMs) on AWS to enhance your business operations. You will learn the steps to subscribe to AI21 Labs in the AWS Marketplace, set up a domain in Amazon SageMaker, and utilize AI21 TSMs via SageMaker JumpStart. Limits are account and resource specific.

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Pickl AI

OCTOBER 11, 2024

These include the database engine for executing queries, the query processor for interpreting SQL commands, the storage manager for handling physical data storage, and the transaction manager for ensuring data integrity through ACID properties. Data Independence: Changes in database structure do not affect application programs.

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AWS Machine Learning Blog

NOVEMBER 20, 2024

The combination of retrieval-based and generation-based models in RAG allows for accessing databases and generating accurate and contextually relevant responses. Access to reliable information from a comprehensive knowledge base helps the system provide better responses. This bucket is designated as the knowledge base data source.

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Dataversity

MARCH 26, 2024

Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

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AWS Machine Learning Blog

OCTOBER 24, 2024

These agents work with AWS managed infrastructure capabilities and Amazon Bedrock , reducing infrastructure management overhead. Solution overview Typically, a three-tier software application has a UI interface tier, a middle tier (the backend) for business APIs, and a database tier. What are the top five most expensive products?

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AWS Machine Learning Blog

APRIL 16, 2024

Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on. AWS CloudFormation provides and configures those resources on your behalf, removing the risk of human error when deploying bots to new environments. Resources: # 1.

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AWS Machine Learning Blog

MARCH 13, 2024

In this post, we introduce solutions that enable audio and text chat moderation using various AWS services, including Amazon Transcribe , Amazon Comprehend , Amazon Bedrock , and Amazon OpenSearch Service. Amazon Transcribe converts the audio into text, providing additional information about toxicity analysis.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

These indexes enable efficient searching and retrieval of part data and vehicle information, providing quick and accurate results. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information.

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IBM Journey to AI blog

JANUARY 16, 2024

As carbon emissions reporting becomes common worldwide, IBM is committed to assisting its clients in making informed decisions that can help address their energy demands and associated carbon impact while reducing costs. It helps identify energy or carbon hotspots to develop an optimization roadmap.

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Flipboard

MARCH 18, 2023

Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, offering storage, databases, … TL;DR: A wide range of online Amazon Web Services courses are available for free on edX. Are you familiar with Amazon Web Services? If not, you should change this situation as soon as possible.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative AI with AWS The emergence of FMs is creating both opportunities and challenges for organizations looking to use these technologies. A key challenge is ensuring high-quality, coherent outputs that align with business needs, rather than hallucinations or false information.

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Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

The following are a few popular use cases: Smart reporting and market intelligence – AI can analyze various sources of financial information to generate market intelligence reports, aiding analysts, investors, and companies to stay updated on trends. The following screenshot shows an example of the UI.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

In this post, we demonstrate a solution using Amazon FSx for NetApp ONTAP with Amazon Bedrock to provide a RAG experience for your generative AI applications on AWS by bringing company-specific, unstructured user file data to Amazon Bedrock in a straightforward, fast, and secure way. The following diagram illustrates the end-to-end flow.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. Implement a tagging strategy A tag is a label you assign to an AWS resource. The AWS reserved prefix aws: tags provide additional metadata tracked by AWS.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

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IBM Journey to AI blog

JUNE 2, 2023

Why IBM Consulting and AWS? IBM is a Premier Consulting Partner for AWS, with 19,000+ AWS certified professionals across the globe, 16 service validations and 15 AWS competencies—becoming the fastest Global GSI to secure more AWS competencies and certifications among Top-16 AWS Premier GSI’s within 18 months.

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Flipboard

NOVEMBER 19, 2024

In semantic search, documents are stored as vectors, a numeric representation of the document content, in a vector database such as Amazon OpenSearch Service , and are retrieved by performing similarity search with a vector representation of the search query. The following diagram depicts the solution architecture.

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AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. To retrieve data from database, you can use foundation models (FMs) offered by Amazon Bedrock, converting text into SQL queries with specified constraints. Virginia) AWS Region.

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