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 104

Scripts Construction APIs Healthcare 104

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 112

APIs Benchmark Construction Enterprise 112

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.

APIs 114

APIs Enterprise Engineering Accountability 114

AWS Machine Learning

AUGUST 26, 2022

Organizations in the lending and mortgage industry process thousands of documents on a daily basis. From a new mortgage application to mortgage refinance, these business processes involve hundreds of documents per application. At the start of the process, documents are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket.

APIs 102

APIs Banking Accountability Analytics 102

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 121

Chatbots APIs Engineering Automotive 121

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. What are the differences between AWS HealthScribe and the LMA for healthcare?

Healthcare 105

Healthcare Consulting Consulting APIs 105

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 116

APIs Construction Best practices Technology 116

AWS Machine Learning

SEPTEMBER 3, 2024

By using the Livy REST APIs , SageMaker Studio users can also extend their interactive analytics workflows beyond just notebook-based scenarios, enabling a more comprehensive and streamlined data science experience within the Amazon SageMaker ecosystem.

Big data 109

Big data Engineering Accountability Real estate 109

AWS Machine Learning

NOVEMBER 1, 2023

Organizations can search for PII using methods such as keyword searches, pattern matching, data loss prevention tools, machine learning (ML), metadata analysis, data classification software, optical character recognition (OCR), document fingerprinting, and encryption.

APIs 107

APIs Government Engineering Telecommunications 107

AWS Machine Learning

SEPTEMBER 20, 2024

When using your data source, you might want better visibility into the document processing lifecycle during data source sync jobs. They could include knowing the status of each document you attempted to crawl and index, as well as being able to troubleshoot why certain documents were not returned with the expected answers.

APIs 82

APIs Engineering Enterprise Best practices 82

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 121

Government Healthcare Construction Engineering 121

AWS Machine Learning

MAY 15, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. In this post, we walk through when and how to use the Amazon Textract Bulk Document Uploader to evaluate how Amazon Textract performs on your documents.

APIs 84

APIs Construction Accountability Best practices 84

AWS Machine Learning

NOVEMBER 1, 2024

Google Drive is a cloud-based storage service that provides a centralized location for storing digital assets, including documents, knowledge articles, and spreadsheets. The connector can’t index documents stored on Google Drive in a personal Google Gmail account. All customer data is indexed only in the customer account.

Enterprise 111

Enterprise APIs Accountability Management 111

AWS Machine Learning

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Analytics 121

Analytics APIs Engineering Construction 121

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. The following figure illustrates the high-level design of the solution.

APIs 119

APIs Scripts Accountability Construction 119

AWS Machine Learning

JULY 2, 2024

Amazon Bedrock is a fully managed service that makes a wide range of foundation models (FMs) available though an API without having to manage any infrastructure. Amazon API Gateway and AWS Lambda to create an API with an authentication layer and integrate with Amazon Bedrock. The AWS Well-Architected Framework documentation.

APIs 123

APIs Scripts Enterprise Engineering 123

AWS Machine Learning

NOVEMBER 19, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon Web Services available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Amazon SES dispatches the response back to the customer, completing the interaction loop.

APIs 90

APIs Management Engineering Enterprise 90

AWS Machine Learning

SEPTEMBER 8, 2023

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. What if there was a way to process documents intelligently and make them searchable in with high accuracy?

Construction 122

Construction Metrics Best practices APIs 122

AWS Machine Learning

AUGUST 15, 2022

Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their day-to-day business processes. There is limited automation available today to process and extract information from these documents.

APIs 77

APIs Banking Finance Analytics 77

AWS Machine Learning

NOVEMBER 11, 2024

When you use the data source connector, Amazon Q will have its own index where you can add and sync documents. The document is a unit of data, and how to count a document varies by connector. Amazon Q automatically maps built-in fields to attributes in your data source when it crawls and index documents.

APIs 100

APIs Accountability Automotive Enterprise 100

AWS Machine Learning

AUGUST 15, 2022

Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions of documents per year in the course of their business. The following figure shows the stages that are typically part of an IDP workflow.

Banking 80

Banking APIs Accountability Analytics 80

AWS Machine Learning

APRIL 19, 2023

The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option.

APIs 89

APIs Metrics Enterprise Best practices 89

AWS Machine Learning

JULY 29, 2024

Find accurate answers from content in Jira using Amazon Q Business After you integrate Amazon Q Business with Jira, users can ask questions from the description of the document. When you connect Amazon Q Business to a data source and initiate the sync process, Amazon Q Business crawls and indexes documents from the data source into its index.

APIs 120

APIs Customer Support Management Enterprise 120

AWS Machine Learning

NOVEMBER 2, 2022

Intelligent document processing (IDP) has seen widespread adoption across enterprise and government organizations. IDP helps transform structured, semi-structured, and unstructured data from a variety of document formats into actionable information. The following diagram shows the document processing flow. billion in 2022.

Construction 78

Construction APIs Government Enterprise 78

AWS Machine Learning

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. The system is capable of processing images, large PDF, and documents in other format and answering questions derived from the content via interactive text or voice inputs.

Banking 80

Banking APIs Engineering Accountability 80

AWS Machine Learning

NOVEMBER 20, 2024

The data ingestion workflow creates semantic embeddings for documents and questions, storing document embeddings in a vector database. By comparing vector similarity to the question embedding, the text generation workflow selects the most relevant document chunks to enhance the prompt. Anthropic’s Claude Sonnet 3.5

APIs 107

APIs Construction Healthcare Accountability 107

AWS Machine Learning

AUGUST 22, 2024

Types of documents When you connect Amazon Q to a data source, what Amazon Q considers—and crawls—as a document varies by connector. The Confluence Cloud connector crawls the following as documents: Spaces – Each space is considered a single document. Pages – Each page is considered a single document.

APIs 102

APIs Enterprise Accountability Management 102

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.

Analytics 82

Analytics APIs Healthcare Big data 82

AWS Machine Learning

SEPTEMBER 26, 2024

This domain knowledge is traditionally captured in reference manuals, service bulletins, quality ticketing systems, engineering drawings, and more, but the quantity and complexity of documents is growing and takes time to learn. How can I trace the reasoning of my model back to source documents to build user trust?” “How

APIs 102

APIs Chatbots Engineering Accountability 102

AWS Machine Learning

DECEMBER 2, 2022

“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. Customers spend a significant amount of time and effort identifying documents and extracting critical information from them for various use cases.

APIs 77

APIs Healthcare Enterprise Analytics 77

AWS Machine Learning

MARCH 31, 2023

Intelligent document processing (IDP) with AWS helps automate information extraction from documents of different types and formats, quickly and with high accuracy, without the need for machine learning (ML) skills. For more information, refer to Intelligent document processing with AWS AI services: Part 1.

Construction 71

Construction APIs Accountability Banking 71

Cincom

MAY 3, 2024

Manually creating customized communication documents like quotes, invoices, contracts, and reports is an inefficient process prone to human error. If you’re considering implementing a document automation solution for your organization, there are several key capabilities to evaluate during your search. What Is Document Automation?

Enterprise 40

Enterprise CRM APIs Customer retention 40

AWS Machine Learning

OCTOBER 9, 2024

Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories, including Amazon Simple Storage Service (Amazon S3) , Salesforce, Google Drive, Microsoft 365, ServiceNow, Gmail, Slack, Atlassian, and Zendesk and can help you create your generative AI solution with minimal configuration.

APIs 124

APIs Enterprise Management Accountability 124

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. Incoming requests to the gateway go through this point.

Enterprise 108

Enterprise APIs Government Accountability 108

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 116

APIs Call flow Accountability Technology 116

AWS Machine Learning

MARCH 26, 2024

One area that holds significant potential for improvement is accounts payable. On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and archival. Now let’s dive into each of the document processing steps.

APIs 110

APIs Construction Analytics Enterprise 110

AWS Machine Learning

NOVEMBER 18, 2024

It exposes an API endpoint through Amazon API Gateway that proxies the initial prompt request to a Python-based AWS Lambda function, which calls Amazon Bedrock twice. Users or applications submit a prompt as an API request. The pre-signed URL and the evaluation are returned as an API response in JSON format.

APIs 102

APIs Entertainment Benchmark Advertising 102