Remove Analytics Remove APIs Remove Blog Remove Presentation
article thumbnail

Super-Agents Are Real (Blog #4)

Enghouse Interactive

AI Makes It Possible (Blog Series). Blog #4 of 4 The MORE you know. Agents will be presented with increasingly more complex situations which will require more engagement, insight and analysis. Key Learnings from Kate Leggett and Steve Nattress. The more YOU KNOW. . How AI-Enabled Super-Agents Improve CX. Act on the results.

article thumbnail

Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning

You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. Solution overview.

APIs 109
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

Alexa, How are My SLAs Doing?

NICE inContact

The company continues to develop innovative applications, from integrating with its proprietary reporting platform, Omegalytics, to harnessing the power of CXone APIs to broadcast SLA performance through Amazon Alexa and other devices. How Omega continues to utilize CXone APIs for innovative integrations and applications.

APIs 77
article thumbnail

Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

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.

article thumbnail

Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro has used the input filter and join functionality of SageMaker batch transformation API. The response is returned to Lambda and sent back to the application through API Gateway. Evaluate payload – If there is incremental data or payload present for the current run, it invokes the monitoring branch.

article thumbnail

Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 81
article thumbnail

Real-time analysis of customer sentiment using AWS

AWS Machine Learning

We also demonstrate how to understand the different sentiments associated with specific entities in the text (such as company, product, person, or brand) directly from the API. The Amazon Comprehend sentiment API identifies the overall sentiment for a text document. Use cases for real-time sentiment analysis. Solution overview.

APIs 72