AWS Machine Learning

DECEMBER 11, 2024

This enables sales teams to interact with our internal sales enablement collateral, including sales plays and first-call decks, as well as customer references, customer- and field-facing incentive programs, and content on the AWS website, including blog posts and service documentation.

Sales 110

Sales Accountability APIs CRM 110

AWS Machine Learning

APRIL 11, 2024

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.

APIs 135

APIs Banking Enterprise Engineering 135

AWS Machine Learning

JANUARY 8, 2024

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). In this post, we focus on processing a large collection of documents into raw text files and storing them in Amazon S3.

Scripts 124

Scripts Construction APIs Healthcare 124

AWS Machine Learning

APRIL 23, 2025

RAG workflow: Converting data to actionable knowledge RAG consists of two major steps: Ingestion Preprocessing unstructured data, which includes converting the data into text documents and splitting the documents into chunks. Document chunks are then encoded with an embedding model to convert them to document embeddings.

APIs 97

APIs Healthcare Enterprise Accountability 97

AWS Machine Learning

MARCH 4, 2025

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. An interactive chat interface allows deeper exploration of both the original document and generated content.

Best practices 120

Best practices Enterprise Engineering Strategic Value 120

AWS Machine Learning

AUGUST 9, 2024

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.

Government 131

Government Healthcare Construction Engineering 131

AWS Machine Learning

MAY 1, 2024

We developed the Document Translation app, which uses Amazon Translate , to address these issues. The Document Translation app uses Amazon Translate for performing translations. Amazon Translate provides high-quality document translations for contextual, accurate, and fluent translations. 1 – Translating a document.

APIs 135

APIs Construction Best practices Technology 135

AWS Machine Learning

AUGUST 14, 2024

While using their data source, they want better visibility into the document processing lifecycle during data source sync jobs. They want to know the status of each document they attempted to crawl and index, as well as the ability to troubleshoot why certain documents were not returned with the expected answers.

Enterprise 122

Enterprise APIs Engineering Accountability 122

AWS Machine Learning

NOVEMBER 7, 2024

Access to car manuals and technical documentation helps the agent provide additional context for curated guidance, enhancing the quality of customer interactions. The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket.

APIs 130

APIs Enterprise Automotive Customer Support 130

AWS Machine Learning

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

Healthcare 122

Healthcare Consulting Consulting APIs 122

AWS Machine Learning

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. A Business or Enterprise Google Workspace account with access to Google Chat.

APIs 124

APIs Scripts Accountability Construction 124

AWS Machine Learning

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive. This solution uses the powerful capabilities of Amazon Q Business.

Enterprise 104

Enterprise Engineering APIs Best practices 104

AWS Machine Learning

NOVEMBER 20, 2024

By narrowing down the search space to the most relevant documents or chunks, metadata filtering reduces noise and irrelevant information, enabling the LLM to focus on the most relevant content. This approach narrows down the search space to the most relevant documents or passages, reducing noise and irrelevant information.

Construction 118

Construction APIs Metrics Accountability 118

AWS Machine Learning

SEPTEMBER 3, 2024

We begin by creating an inline policy that grants the necessary permissions for these actions on EMR Serverless clusters, then attach the policy to the Studio domain or user profile role: { "Version": "2012-10-17", "Statement": [ { "Sid": "EMRServerlessUnTaggedActions", "Effect": "Allow", "Action": [ "emr-serverless:ListApplications" ], "Resource": (..)

Big data 118

Big data Engineering Accountability Real estate 118

AWS Machine Learning

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. For documentation retrieval, Retrieval Augmented Generation (RAG) stands out as a key tool. Virginia) AWS Region. The following diagram illustrates the solution architecture.

Chatbots 131

Chatbots APIs Engineering Automotive 131

AWS Machine Learning

MARCH 27, 2025

Lets say the task at hand is to predict the root cause categories (Customer Education, Feature Request, Software Defect, Documentation Improvement, Security Awareness, and Billing Inquiry) for customer support cases. We suggest consulting LLM prompt engineering documentation such as Anthropic prompt engineering for experiments.

Education 112

Education Engineering APIs Enterprise 112

AWS Machine Learning

OCTOBER 29, 2024

Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account. For a detailed breakdown of the features and implementation specifics, refer to the comprehensive documentation in the GitHub repository.

Best practices 114

Best practices Feedback Metrics APIs 114

AWS Machine Learning

FEBRUARY 7, 2024

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. The following diagram represents each stage in a mortgage document fraud detection pipeline.

APIs 136

APIs Accountability Metrics Engineering 136

AWS Machine Learning

MARCH 19, 2025

operation.font.set({ name: 'Arial' }); // flush changes to the Word document await context.sync(); }); Generative AI backend infrastructure The AWS Cloud backend consists of three components: Amazon API Gateway acts as an entry point, receiving requests from the Office applications Add-in. Here, we use Anthropics Claude 3.5 Sonnet).

APIs 114

APIs Automotive Accountability Analytics 114

AWS Machine Learning

JANUARY 22, 2025

Prerequisites For this example, you need the following: An AWS account and a user with an AWS Identity and Access Management (IAM) role authorized to use Bedrock. The following is an example FlowMultiTurnInputRequestEvent JSON object: { "nodeName": "Trip_planner", "nodeType": "AgentNode", "content": { "document": "Certainly!

APIs 131

APIs Transportation Best practices Enterprise 131

AWS Machine Learning

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions. Who are the data stewards for my proprietary database sources?

Enterprise 105

Enterprise Engineering APIs Accountability 105

AWS Machine Learning

MARCH 18, 2025

Site monitors conduct on-site visits, interview personnel, and verify documentation to assess adherence to protocols and regulatory requirements. However, this process can be time-consuming and prone to errors, particularly when dealing with extensive audio recordings and voluminous documentation.

Healthcare 114

Healthcare Analytics Consulting Consulting 114

CSM Magazine

JANUARY 28, 2025

Registering and logging into a personal account on a gaming site are important steps for every new member. The process of creating an account at CandyLand Casino login is fast enough and requires little effort. Logging in to your personal account is a key moment to get full access to all functions.

Accountability 52

Accountability Personalization Entertainment Banking 52

AWS Machine Learning

JANUARY 29, 2025

Intelligent document processing , translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI that organizations are rolling out in production.

Enterprise 100

Enterprise Government Accountability Finance 100

AWS Machine Learning

MARCH 6, 2025

Optimized for search and retrieval, it streamlines querying LLMs and retrieving documents. Build sample RAG Documents are segmented into chunks and stored in an Amazon Bedrock Knowledge Bases (Steps 24). For this purpose, LangChain provides a WebBaseLoader object to load text from HTML webpages into a document format.

Metrics 119

Metrics Enterprise APIs Engineering 119

AWS Machine Learning

JANUARY 7, 2025

The solution offers two TM retrieval modes for users to choose from: vector and document search. When using the Amazon OpenSearch Service adapter (document search), translation unit groupings are parsed and stored into an index dedicated to the uploaded file. For this post, we use a document store. Choose With Document Store.

Engineering 114

Engineering Metrics industry standards Finance 114

AWS Machine Learning

APRIL 29, 2025

The following example shows how prompt optimization converts a typical prompt for a summarization task on Anthropics Claude Haiku into a well-structured prompt for an Amazon Nova model, with sections that begin with special markdown tags such as ## Task, ### Summarization Instructions , and ### Document to Summarize.

77

77

AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

Government 106

Government Management APIs Accountability 106

AWS Machine Learning

MARCH 3, 2025

Designed for both image and document comprehension, Pixtral demonstrates advanced capabilities in vision-related tasks, including chart and figure interpretation, document question answering, multimodal reasoning, and instruction followingseveral of which are illustrated with examples later in this post. Pixtral_data/a01-000u-04.png'

Benchmark 110

Benchmark APIs Construction Enterprise 110

AWS Machine Learning

FEBRUARY 19, 2025

To use Automated Reasoning checks, you first create an Automated Reasoning policy by encoding a set of logical rules and variables from available source documentation. Automated Reasoning checks deliver deterministic verification of model outputs against documented rules, complete with audit trails and mathematical proof of policy adherence.

APIs 88

APIs Banking Engineering Transportation 88

AWS Machine Learning

DECEMBER 3, 2024

Efficient metadata storage with Amazon DynamoDB – To support quick and efficient data retrieval, document metadata is stored in Amazon DynamoDB. Key components include: Orchestrated document processing with AWS Step Functions – The document processing workflow begins with AWS Step Functions , which orchestrates each step in the process.

Sales 109

Sales APIs Engineering Analytics 109

Steve DiGioia

APRIL 19, 2021

Here are a few examples: I’m sorry we gave you the wrong information about how to update your online account. We should have checked first to see whether you had a Vendor account or a Supplier account. We’re sorry that you had trouble finding the images you had stored on StockFoto. Follow Leslie on Twitter @LeslieO.

Accountability 304

Accountability Personalization Customer Care Customer Support 304

AWS Machine Learning

FEBRUARY 12, 2025

Your task is to understand a system that takes in a list of documents, and based on that, answers a question by providing citations for the documents that it referred the answer from. Our dataset includes Q&A pairs with reference documents regarding AWS services. The following table shows an example.

APIs 77

APIs Management Benchmark Scripts 77

AWS Machine Learning

NOVEMBER 15, 2024

decode("utf-8")) response = response["embeddings"]["float"][0] elif is_txt(doc): # Doc is a text file, encode it as a document with open(doc, "r") as fIn: text = fIn.read() print("Encode img desc:", doc, " - Content:", text[0:100]+".") If so, skip to the next section in this post. Deployment starts when you choose the Deploy option.

Benchmark 109

Benchmark Enterprise Construction Engineering 109

AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. This record-keeping allows developers and researchers to maintain consistency, reproduce results, and iterate on their work effectively.

Management 116

Management APIs Engineering Metrics 116

AWS Machine Learning

FEBRUARY 21, 2025

Additionally, Amazon Q Business seamlessly integrates with multiple enterprise data stores , including FSx for Windows File Server, enabling you to index documents from file server systems and perform tasks such as summarization, Q&A, or data analysis of large numbers of files effortlessly. Synchronize your file system data.

Enterprise 91

Enterprise Engineering Management Accountability 91

AWS Machine Learning

NOVEMBER 19, 2024

Its agent for software development can solve complex tasks that go beyond code suggestions, such as building entire application features, refactoring code, or generating documentation. Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster.

APIs 108

APIs Enterprise Best practices Government 108