Remove APIs Remove Engineering Remove Self service
article thumbnail

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

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. You can use AWS services such as Application Load Balancer to implement this approach.

article thumbnail

Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning

With the QnABot on AWS (QnABot), integrated with Microsoft Azure Entra ID access controls, Principal launched an intelligent self-service solution rooted in generative AI. As an early adopter of Amazon Q Business, engineers from Principal worked directly with the Amazon Q Business team to validate updates and new features.

Chatbots 114
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning

Verisk has embraced this technology and has developed their own Instant Insight Engine, or AI companion, that provides an enhanced self-service capability to their FAST platform. First, they used the Amazon Kendra Retrieve API to get multiple relevant passages and excerpts based on keyword search.

article thumbnail

Derive generative AI powered insights from Alation Cloud Services using Amazon Q Business Custom Connector

AWS Machine Learning

Organizations trust Alations platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering innovation at scale. With the connector ready, move over to the SageMaker Studio notebook and perform data synchronization operations by invoking Amazon Q Business APIs.

article thumbnail

Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. The connector was built by using the Amazon Lex Model Building API with the AWS SDK for Java 2.x.

article thumbnail

18 Great FAQ Examples to Improve Your Self-Service Support

Help Scout

Reviewing which pages are most popular may suggest to your product or engineering teams where customers’ common confusions are, which could help you find ways to resolve those issues at the product level. Finally, there are tons of insights into user behavior and interests that can be gleaned from FAQ content. Below are our 18 favorites.

article thumbnail

How Reveal’s Logikcull used Amazon Comprehend to detect and redact PII from legal documents at scale

AWS Machine Learning

Now a part of Reveal’s AI-powered eDiscovery platform, Logikcull is a self-service solution that allows legal professionals to process, review, tag, and produce electronic documents as part of a lawsuit or investigation. This two pass solution was made possible by using the ContainsPiiEntities and DetectPiiEntities APIs.

APIs 122