Remove Accountability Remove APIs Remove Customer Service Remove Engineering
article thumbnail

Build a foundation model (FM) powered customer service bot with agents for Amazon Bedrock

AWS Machine Learning

In this post, we provide a step-by-step guide with building blocks to create a customer service bot. The action is an API that the model can invoke from an allowed set of APIs. Action groups are mapped to an AWS Lambda function and related API schema to perform API calls.

APIs 86
article thumbnail

Run machine learning enablement events at scale using AWS DeepRacer multi-user account mode

AWS Machine Learning

Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. This often meant securing and monitoring usage across hundreds or even thousands of AWS accounts. Build a solution around AWS DeepRacer multi-user account management.

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

11 Customer Service Phrases You Need to Know in 2023

Nicereply

Regardless of the industry you work in , there’s common situations that every customer service agent will run into. That’s why we’ve rounded up a list of 11 common customer service phrases you can employ to deal with difficult situations. I’ve gone through your account and ensured that there’s no further issues remaining.

article thumbnail

Messaging vs Chat vs Texting: Battle for the Future of Customer Service [Google Hangout]

Fonolo

However, the downside of messaging is that consumers must have the relevant app installed, and an associated account set up. then it can deliver great customer service and build a lasting and loyal customer base. Impact of Messages on Customer Service. VPs & Directors of Customer Service.

article thumbnail

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

AWS Machine Learning

You can also customize FMs to perform domain-specific functions that are differentiating to your businesses, using only a small fraction of the data and compute required to train a model from scratch. Original content production, code generation, customer service enhancement, and document summarization are typical use cases of generative AI.

APIs 91
article thumbnail

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

article thumbnail

What is Call Center Compliance?

NobelBiz

Call centers play a crucial role in customer service and sales operations. The Health Insurance Portability and Accountability Act (HIPAA), enacted in 1996, fundamentally shapes the U.S. Call centers that provide services to publicly traded companies or handle financial data may be subject to SOX compliance requirements.