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 76

Analytics APIs Healthcare Big data 76

AWS Machine Learning

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

APIs 69

APIs Metrics Accountability Scripts 69

Quadient

OCTOBER 27, 2021

En réalité, une fois que vous avez gagné un nouveau client, le reste du parcours client est encore plus important. En particulier celles qui évoluent dans des secteurs B2C hautement réglementés tels que l’assurance, la banque, la santé, l’administration et cs l’énergie. Et c’est là que de nombreuses entreprises échouent.

B2C 52

B2C Construction B2B CRM 52

AWS Machine Learning

JULY 3, 2023

Companies across various industries create, scan, and store large volumes of PDF documents. There’s a need to find a scalable, reliable, and cost-effective solution to translate documents while retaining the original document formatting. It also uses the open-source Java library Apache PDFBox to create PDF documents.

Healthcare 70

Healthcare Engineering Accountability Management 70

Quadient

JULY 21, 2022

Vandaag de dag verwachten consumenten naadloze omnichannel communicatie en willen ze op zinvolle en diepgaande, gepersonaliseerde manieren contact leggen met merken. Een CXM maturity model helpt u om de vereiste stappen te visualiseren, te begrijpen waar u zich bevindt in de overgang en helpt u om te plannen wat u vervolgens moet doen.

Customer Experience 40

Customer Experience Management Journey mapping APIs 40

AWS Machine Learning

AUGUST 25, 2022

We have seen increased adoption of ML for multi-lingual data and document processing workloads. We propose a solution to create a multi-lingual document translation workflow with domain- and language-specific customizations that you can review and augment as needed to continuously improve results and delight end-users.

Government 65

Government Accountability Enterprise Technology 65

AWS Machine Learning

SEPTEMBER 12, 2023

Two environment variables are provided here: source_language – The original language that the application log is in (for example, ja for Japanese) target_language – The target language to translate the application log to (for example, en for English) For a list of supported languages, refer to Supported languages and language codes.

Engineering 95

Engineering Accountability Management 95

AWS Machine Learning

MAY 18, 2023

Choose English (en) for Default language. You can also include or exclude documents by using regular expressions. You can define patterns that Amazon Kendra either uses to exclude certain documents from indexing or include only documents with that pattern. Under SharePoint Connector V2.0 , choose Add connector.

Engineering 77

Engineering Management Enterprise Best practices 77

Topdown

SEPTEMBER 30, 2016

Most people think of letters, statements, privacy notices, and other documents and correspondence that traditionally have been produced in large batches and mailed to customers en masse. What do you think of when you hear the term “ customer communications management ”?

Management 79

Management Customer Experience 79

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 75

Banking APIs Accountability Analytics 75

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. For Description , enter an optional description.

APIs 66

APIs Accountability Management Technology 66

AWS Machine Learning

SEPTEMBER 16, 2022

example/tmp.ssml en-US Joanna./web/polly/PRTPStaticDefault example/tmp.ssml en-US Matthew./web/polly/PRTPStaticDefault We need to track locations using the same document object model (DOM) structure that the browser uses. example/tmp.ssml en-US Joanna./web/polly/PRTPStaticConfig example/tmp.ssml en-US Matthew./web/polly/PRTPStaticConfig

Scripts 71

Scripts Accountability Enterprise Technology 71

AWS Machine Learning

FEBRUARY 20, 2024

pyannote.metrics takes these tuples of ground truth diarizations and output diarizations (referred to in the pyannote.metrics documentation as reference and hypothesis ) to calculate the DER. in a code subdirectory. The results are based mostly on the time of the segments. The following table summarizes our results.

Technology 96

Technology Scripts Engineering Entertainment 96

Mindtouch

MAY 22, 2018

In many ways, a hierarchical content structure is an efficient way to maintain and organize documentation. Same idea with self-service content: authors can leverage hierarchies to better craft and restructure documentation. Here’s an example of how that URL structure might look: /Documentation. en-us/library/doc133050.aspx.

Customer effort 59

Customer effort Self service Construction Engineering 59

CSM Magazine

MARCH 3, 2022

Quick Document Verification. The latter is an underrated tool for casino platforms to connect with customers, often allowing them to take players en masse in steps to troubleshoot problems. Furthermore, top casinos will also have customer service options available through social media.

Customer Service 52

Customer Service Banking Advertising Accountability 52

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Extract and analyze data from documents.

Scripts 72

Scripts Metrics APIs Healthcare 72

GetFeedback

OCTOBER 14, 2019

The phrase Customer Experience (CX) didn’t become en vogue until 2008 when it surpassed Customer Satisfaction as the primary customer-focused keyword. . Outdated documentation. Unfortunately, though, the challenges associated with searching for or through documentation actually account for 21.3% It makes sense, right? .

Customer Experience 88

Customer Experience Metrics Surveys Engineering 88

AWS Machine Learning

OCTOBER 4, 2022

For example, you can analyze support tickets and knowledge articles to detect PII entities and redact the text before you index the documents. After that, documents are free of PII entities and users can consume the data. No ML experience is required. redacteddata = json.dumps(payloadjsonraw). format(len(event['records']))).

APIs 85

APIs Banking Analytics Accountability 85

AWS Machine Learning

MARCH 28, 2024

If you’re implementing complex RAG applications into your daily tasks, you may encounter common challenges with your RAG systems such as inaccurate retrieval, increasing size and complexity of documents, and overflow of context, which can significantly impact the quality and reliability of generated answers. We use an ml.t3.medium

Telecommunications 112

Telecommunications Healthcare Transportation Accountability 112

Quadient

JULY 13, 2022

L’adaptation est une notion fondamentale en entreprise : elle s’applique aussi bien au produit – qui doit s’adapter au marché – qu’à la communication client. Cela devient même un nouveau standard lorsque la concurrence a déjà massivement mis en œuvre ces nouveaux canaux de communication.

Technology 10

Technology 10

AWS Machine Learning

NOVEMBER 22, 2022

They need to translate and localize content such as marketing materials, product content assets, operational manuals, and legal documents. On the Body tab, select Raw and enter a JSON body as follows: { "sourceText": "some text to translate", "targetLanguage": "fr", "sourceLanguage":"en"}. sourceLanguage is an optional parameter.

APIs 71

APIs Enterprise Accountability industry standards 71

AWS Machine Learning

JANUARY 12, 2024

They don’t capture the full context of a document, making them less effective in dealing with unstructured data. Embeddings are generated by representational language models that translate text into numerical vectors and encode contextual information in a document. They provide ease of use and strong security and privacy controls.

Enterprise 113

Enterprise Engineering APIs Surveys 113

Nexmo

JUNE 13, 2019

The Google Cloud Platform documentation has excellent documentation on getting up and running with a new account. Translator.translate(translated_text, to: language) : Translator.translate(translated_text.text, to: language) end final_translation = Translator.translate(translated_text.text, to: 'en'). stream.wait_until_complete!

APIs 73

APIs Accountability Entertainment Personalization 73

Nexmo

JUNE 13, 2019

The Google Cloud Platform documentation has excellent documentation on getting up and running with a new account. Translator.translate(translated_text, to: language) : Translator.translate(translated_text.text, to: language) end final_translation = Translator.translate(translated_text.text, to: 'en'). stream.wait_until_complete!

APIs 73

APIs Accountability Entertainment Personalization 73

AWS Machine Learning

NOVEMBER 21, 2023

Before intelligent applications could be built from embeddings, enterprises and organizations had to embed their existing documents, which can be expensive and technically complicated. In this post, we use huggingface-sentencesimilarity-bge-large-en as an example. English BGE Base En 21.2 114 English BGE Small En 28.3

Benchmark 87

Benchmark Enterprise Management Personalization 87

AWS Machine Learning

NOVEMBER 20, 2023

A typical RAG solution for knowledge retrieval from documents uses an embeddings model to convert the data from the data sources to embeddings and stores these embeddings in a vector database. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query. embeddings.

APIs 97

APIs Entertainment Accountability Customer Experience 97

Customer Service Life

MARCH 5, 2018

In our industry, which happened to be web hosting and domain name registration, it was en vogue to slap 24x7x365 support on our website, which we offered. Back in the day, this led to improved documentation, better product, fixed bugs, better self-service, and a slew of other things.

Analytics 60

Analytics Contact Center Wait times Engineering 60

Nicereply

SEPTEMBER 17, 2020

Automation is the only means to reach out to customers en masse concerning new features, weekly reports, or upcoming events. Thus, before getting in contact with customers, you can gather documentation, smoothen out onboarding, as well as optimize the automation process. However, it should not be frequent or without purpose.

SaaS 105

SaaS Customer retention Customer Support Surveys 105

AWS Machine Learning

DECEMBER 5, 2023

Enterprises may want to add custom metadata like document types (W-2 forms or paystubs), various entity types such as names, organization, and address, in addition to the standard metadata like file type, date created, or size to extend the intelligent search while ingesting the documents.

APIs 99

APIs Enterprise Accountability Healthcare 99

Nexmo

APRIL 2, 2019

DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8" /> <link href="css/style.css" rel="stylesheet"> <title>Voicemail</title> </head> <body> </body> <script src="/socket.io/socket.io.js"></script>

Scripts 76

Scripts APIs Answering services Personalization 76

AWS Machine Learning

SEPTEMBER 22, 2022

Today, we’re excited to announce the new synchronous API for targeted sentiment in Amazon Comprehend, which provides a granular understanding of the sentiments associated with specific entities in input documents. batch-detect-targeted-sentiment – This API provides the targeted sentiment for a list of documents. language-code en.

APIs 67

APIs Contact Center Feedback Analytics 67

AWS Machine Learning

AUGUST 15, 2023

Chunk sentences The text content in documents is normally organized by paragraph. Unlike the normal text content in documents, transcriptions from the transcription model are not paragraphed. Load the processed video transcripts using the LangChain document loader and create an index. Each paragraph focuses on the same topic.

Chatbots 74

Chatbots Enterprise Accountability Best practices 74

AWS Machine Learning

NOVEMBER 10, 2023

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning (ML) to uncover information in unstructured data and text within documents. For full documentation of the API interface, refer to the LangChain API documentation for the Amazon Comprehend moderation chain.

APIs 95

APIs Chatbots Analytics Personalization 95

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 71

APIs Banking Finance Analytics 71

AWS Machine Learning

SEPTEMBER 8, 2023

OpenSearch Service allows you to store vectors and other data types in an index, and offers rich functionality that allows you to search for documents using vectors and measuring the semantical relatedness, which we use in this post. OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch.

APIs 96

APIs Scripts Entertainment Personalization 96

AWS Machine Learning

NOVEMBER 4, 2022

The following code shows how to fine-tune BERT base model identified by model_id tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2 on a custom training dataset. For more information, check out the documentation and the example notebook Introduction to JumpStart – Text Classification. Each model is identified by a unique model_id.

Scripts 88

Scripts Construction 88

AWS Machine Learning

DECEMBER 14, 2022

Identifying the source language in each document before calling a translate job creates complexities and adds another step to your workflow. For example, an international product company with its customer support operations located in their corporate office requires their agents to translate emails or documents to support customer requests.

APIs 76

APIs Enterprise Management Customer Support 76