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 73

Banking APIs Accountability Analytics 73

AWS Machine Learning

OCTOBER 12, 2022

A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents.

APIs 81

APIs Construction Metrics Engineering 81

AWS Machine Learning

MARCH 26, 2024

It starts with a document capture stage to securely collect and store scanned invoices and receipts. Approved and rejected documents go to their respective folders within the Amazon Simple Storage Service (Amazon S3) bucket. For approved documents, you can search all the extracted fields and values using Amazon OpenSearch Service.

APIs 88

APIs Construction Analytics Enterprise 88

AWS Machine Learning

MARCH 1, 2024

It enables searching over both the content of documents and their underlying meaning. This requires searching over large collections of documents with diverse content, such as website data, which can include various topics such as sustainability, leadership, financial results, and more.

APIs 106

APIs Finance Chatbots Enterprise 106

AWS Machine Learning

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. It then employs a language model to generate a response by considering both the retrieved documents and the original query.

APIs 110

APIs Healthcare Scripts Enterprise 110

NobelBiz

APRIL 23, 2024

Traditional collection methods, such as persistent phone calls and letters, are making way for more nuanced, technology-driven, and customer-oriented strategies. This evolution reflects broader trends in consumer behavior, regulatory environments, and technological advancements.

Customer centricity 52

Customer centricity Contact Center Technology Telemarketing 52

AWS Machine Learning

NOVEMBER 7, 2023

Instead of relying solely on their pre-trained knowledge, RAG allows models to pull data from documents, databases, and more. Utilizing natural language processing (NLP), Amazon Kendra comprehends both the content of documents and the underlying intent of user queries, positioning it as a content retrieval tool for RAG based solutions.

Enterprise 92

Enterprise APIs Engineering Accountability 92

Expivia

FEBRUARY 15, 2024

With a suite of tools ranging from Enlighten Actions to Autopilot and beyond, NICE CXone is setting a new standard for what businesses can expect from their customer service technology. Enlighten Auto Summary automates these tasks, integrating with various CRMs to provide concise, accurate summaries of customer interactions.

Virtual Agent 75

Virtual Agent APIs Analytics Chatbots 75

AWS Machine Learning

APRIL 8, 2024

With these state-of-the-art technologies, you can ingest text corpora, index critical knowledge, and generate text that answers users’ questions precisely and clearly. It provides tools that offer data connectors to ingest your existing data with various sources and formats (PDFs, docs, APIs, SQL, and more).

APIs 97

APIs Engineering Accountability Construction 97

AWS Machine Learning

MAY 5, 2023

Using architecture diagrams as an example, the solution needs to search through reference links and technical documents for architecture diagrams and identify the services present. Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced.

Engineering 101

Engineering APIs Scripts Enterprise 101

AWS Machine Learning

OCTOBER 6, 2022

Six of the top 10 consumer lenders trust Informed’s technology. Manual loan verification document processing is time-consuming. Informed uses a wide range of AWS offerings and capabilities, including Amazon SageMaker and Amazon Textract in their ML stack to power Origence’s document process automation functionality.

APIs 71

APIs Banking SaaS Engineering 71

AWS Machine Learning

NOVEMBER 22, 2023

DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud. To learn more about tuning the performance of a model, see the Cloud AI 100 Key Performance Parameters Documentation. Set up the environment and install required packages Install Python 3.8. Set up the Python 3.8 python3.8 -m

Automotive 99

Automotive APIs Technology Personalization 99

AWS Machine Learning

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific entities or phrases. This IDP Well-Architected Custom Lens provides you the guidance to tackle the common challenges we see in the field.

APIs 81

APIs Accountability Enterprise Transportation 81

AWS Machine Learning

JUNE 15, 2023

So far, D2L has been adopted by more than 400 universities around the world, such as the University of Cambridge, Stanford University, the Massachusetts Institute of Technology, Carnegie Mellon University, and Tsinghua University. First, we put the source documents, reference documents, and parallel data training set in an S3 bucket.

APIs 73

APIs Benchmark Best practices Engineering 73

AWS Machine Learning

NOVEMBER 22, 2023

When a customer has a production-ready intelligent document processing (IDP) workload, we often receive requests for a Well-Architected review. To follow along with this post, you should be familiar with the previous posts in this series ( Part 1 and Part 2 ) and the guidelines in Guidance for Intelligent Document Processing on AWS.

APIs 91

APIs Metrics Enterprise Benchmark 91

AWS Machine Learning

JUNE 15, 2022

Amazon Kendra uses deep learning and reading comprehension to deliver precise answers, and returns a list of ranked documents that match the search query for you to choose from. We first ingest a set of documents, along with their metadata, into an Amazon Kendra index. Solution overview.

APIs 70

APIs Scripts Technology Engineering 70

AWS Machine Learning

JANUARY 22, 2024

Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, surpassing traditional optical character recognition (OCR). Amazon Textract Queries allows you to specify and extract only the piece of information that you need from the document. What is Name?

Finance 96

Finance Enterprise APIs Healthcare 96

AWS Machine Learning

NOVEMBER 8, 2022

We then compare the face from the document with the real-time selfie taken on their device. The Amazon Rekognition CompareFaces API. At the core of the “ID + Selfie” design pattern is the comparison of the face in the selfie to the face on the identification document. For this, we use the Amazon Rekognition CompareFaces API.

APIs 73

APIs Healthcare Banking Accountability 73

AWS Machine Learning

MAY 19, 2023

In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon Textract and Amazon Polly , we showed you our Text to Speech application called “Read for Me”. A pre-signed URL with the location of the audio file stored in Amazon S3 is sent back to the user’s browser through Amazon API Gateway.

APIs 88

APIs Scripts Engineering Best practices 88

TechSee

SEPTEMBER 21, 2023

Sophie AI reads product documentation and support flows, observes customer service and field service interactions, and learns at each step. We are privileged to be trusted by over a thousand leading enterprises who have already deployed TechSee’s AI and visual assistance technology.

Engineering 109

Engineering Enterprise Chatbots Self service 109

AWS Machine Learning

SEPTEMBER 6, 2023

These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions.

Enterprise 93

Enterprise APIs Real estate Construction 93

AWS Machine Learning

APRIL 25, 2023

Solution overview A data source is a data repository or location that Amazon Kendra connects to and indexes your documents or content. After you create an Amazon Kendra index, you can create one or many data sources and configure them to start ingesting documents from the data source. Log in to your organization’s Google Cloud account.

APIs 64

APIs Accountability Management Technology 64

AWS Machine Learning

AUGUST 30, 2023

This includes automatically generating accurate answers from existing company documents and knowledge bases, and making their self-service chatbots more conversational. It also provides attribution and transparency by displaying links to the reference documents and context passages that were used by the LLM to construct the answers.

Self service 100

Self service APIs Transportation Contact Center 100

TechSee

AUGUST 31, 2022

While COVID introduced technology laggards to Zoom, bringing instant, live video to the mainstream. Consider your team culture and their technology stack. The barrier between buying great technology and making a real impact is the adoption and deployment of that technology. Internal Adoption. End-User Adoption.

APIs 109

APIs Enterprise Technology Self service 109

AWS Machine Learning

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

APIs 68

APIs Construction Metrics Technology 68

AWS Machine Learning

NOVEMBER 21, 2022

Additionally, thousands of other customers use Amazon Rekognition Labels to support many other use cases, such as classifying trail or hiking photos, detecting people or vehicles in security camera footage, and classifying identity document pictures. Text and documents – Bar Chart, Boarding Pass, Flow Chart, Notebook, Invoice, Receipt, etc.

APIs 67

APIs Advertising Automotive Personalization 67

AWS Machine Learning

FEBRUARY 14, 2023

It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Additional refinement is needed to find the documents specific to that user or user group as the top search result.

Chatbots 79

Chatbots APIs Construction Engineering 79

AWS Machine Learning

MAY 23, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of virtually infinite compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are rapidly adopting and using ML technologies to transform their businesses.

APIs 90

APIs Accountability Construction Management 90

AWS Machine Learning

APRIL 18, 2024

It uses Amazon Transcribe for speech to text, Knowledge Bases for Amazon Bedrock for contextual queries against your company’s documents and knowledge sources, and Amazon Bedrock models for customizable transcription insights and summaries. AWS AppSync API – On the AWS AppSync console, open the CallAnalytics-LMA API.

APIs 106

APIs Accountability Analytics Entertainment 106

AWS Machine Learning

APRIL 12, 2023

Creating a unified and secure search experience is a significant challenge for organizations because each repository contains a wide range of document formats and access control mechanisms. The following table outlines which documents each user is authorized to access for our use case. An S3 bucket to store your documents.

Enterprise 87

Enterprise APIs Engineering Management 87

AWS Machine Learning

OCTOBER 26, 2023

One of the key requirements for many customers using Drupal is the ability to easily and securely find accurate information across all the documents in the data source. This post shows you how to use the Amazon Kendra Drupal connector to configure the connector as a data source for your Amazon Kendra index and search your Drupal documents.

APIs 94

APIs Accountability Engineering Enterprise 94

AWS Machine Learning

OCTOBER 24, 2023

The full list of supported languages can be found in Amazon Transcribe documentation. T-Mobile already had their voicemail system connected to AWS through a private AWS Direct Connect link and was using the Amazon Transcribe API to get transcriptions. He loves to help telecom customers leverage new technologies to solve their problems.

APIs 88

APIs Engineering Metrics Technology 88

Natalie Petouhof

APRIL 7, 2016

They founded this on the belief that information, technology and great people could combine to bring new, highly customized financial products directly to consumers. Foundational things like: APIs that matter, are easy to integrate and are standards-based. It isn’t just about APIs, SDKs or toolkits.

APIs 40

APIs Finance Banking Engineering 40

AWS Machine Learning

NOVEMBER 22, 2023

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

Best practices 82

Best practices Metrics Feedback Enterprise 82

AWS Machine Learning

MARCH 10, 2023

Call the Amazon Fraud Detector API using the GetEventPrediction action. The API returns one of the following results: approve, block, or investigate. During claims processing, you collect all the claims documents and then run them through a fraud detection system. An example use case is claims processing.

APIs 112

APIs Banking Accountability Analytics 112

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 86

Scripts Construction APIs Healthcare 86

AWS Machine Learning

NOVEMBER 26, 2023

Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.” He has 9 years of marketing experience and has led the product marketing effort for intelligent document processing.

Personalization 100

Personalization Customer Experience APIs Entertainment 100