Artificial Intelligence

Bob Strahan

Author: Bob Strahan

Accelerate intelligent document processing with generative AI on AWS

In this post, we introduce our open source GenAI IDP Accelerator—a tested solution that we use to help customers across industries address their document processing challenges. Automated document processing workflows accurately extract structured information from documents, reducing manual effort. We will show you how this ready-to-deploy solution can help you build those workflows with generative AI on AWS in days instead of months.

Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Amazon Bedrock Knowledge Bases or Amazon Q Business

You’ve likely experienced the challenge of taking notes during a meeting while trying to pay attention to the conversation. You’ve probably also experienced the need to quickly fact-check something that’s been said, or look up information to answer a question that’s just been asked in the call. Or maybe you have a team member that always joins meetings late, and expects you to send them a quick summary over chat to catch them up. Then there are the times that others are talking in a language that’s not your first language, and you’d love to have a live translation of what people are saying to make sure you understand correctly. And after the call is over, you usually want to capture a summary for your records, or to send to the participants, with a list of all the action items, owners, and due dates. All of this, and more, is now possible with our newest sample solution, Live Meeting Assistant (LMA).

Deploy a Microsoft Teams gateway for Amazon Q Business

In this post, we show you how to bring Amazon Q Business to users in Microsoft Teams. (If you use Slack, refer to Deploy a Slack gateway for Amazon Q Business) You’ll be able converse with Amazon Q Business using Teams direct messages (DMs) to ask questions and get answers based on company data, get help creating new content such as email drafts, summarize attached files, and perform tasks.

Getting started with the Amazon Kendra Box connector

Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. For many organizations, Box Content Cloud is a core part of their content storage and lifecycle management […]

Live call analytics and agent assist for your contact center with Amazon language AI services

August 2025: For conversational analytics, refer to Amazon Connect Contact Lens with external voice. Update August 2024 (v0.9.0) – Now includes audio streaming from softphone or meeting web apps, sample server for Talkdesk audio integration, automatic language identification, Anthropic’s Claude-3 LLM models on Amazon Bedrock, Knowledge Bases on Amazon Bedrock, and much more. For details, see […]

Translate, redact, and analyze text using SQL functions with Amazon Redshift, Amazon Translate, and Amazon Comprehend

You may have tables in your Amazon Redshift data warehouse or in your Amazon Simple Storage Service (Amazon S3) data lake full of records containing customer case notes, product reviews, and social media messages, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts […]

Make your audio and video files searchable using Amazon Transcribe and Amazon Kendra

Updated May 2023 (v0.3.0): With this release MediaSearch indexer now supports indexing YouTube media and the MediaSearch Finder is enhanced to support playing YouTube videos inline. The demand for audio and video media content is growing at an unprecedented rate. Organizations are using media to engage with their audiences like never before. Product documentation is […]

Implement live customer service chat with two-way translation, using Amazon Connect and Amazon Translate

November 2023: This post was reviewed and updated for accuracy. Many businesses support customers across multiple countries and ethnic communities, and therefore need to provide customer service in a wide variety of local languages. It’s hard to consistently staff contact centers with agents with different language proficiencies. During periods of high call volumes, callers often […]

You already know how to use Amazon Athena to transform data in Amazon S3 using simple SQL commands

Translate, redact, and analyze text using SQL functions with Amazon Athena, Amazon Translate, and Amazon Comprehend

October 2021 Update (v0.3.0): Added support for Amazon Comprehend DetectKeyPhrases You have Amazon Simple Storage Service (Amazon S3) buckets full of files containing incoming customer chats, product reviews, and social media feeds, in many languages. Your task is to identify the products that people are talking about, determine if they’re expressing happy thoughts or sad […]

Try asking OSU-OKC bot, OKC Pete, some questions of your own via the university website.

Building an omnichannel Q&A chatbot with Amazon Connect, Amazon Lex, Amazon Kendra, and the open-source QnABot project

For many students, embarking on a higher education journey is an exciting time filled with new experiences. However, like anything new, it also can also bring plenty of questions to answer and obstacles to overcome. Oklahoma State University, Oklahoma City (OSU-OKC) recognized this, and was intent on providing a better solution to address student questions […]