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Expedite your Genesys Cloud Amazon Lex bot design with the Amazon Lex automated chatbot designer

AWS Machine Learning Blog

Machine learning (ML) technologies continually improve and power the contact center customer experience by providing solutions for capabilities like self-service bots, live call analytics, and post-call analytics. Solution overview The following diagram illustrates the solution architecture. Save your configuration.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

per contact, while self-service channels cost about $0.10 In this post, we share how the Kentucky Transportation Cabinet’s (KYTC) Department of Vehicle Regulations (DVR) reduced call hold time and improved customer experience with self-service virtual agents using Amazon Connect and Amazon Lex. We’d love to hear from you.

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Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

AWS Machine Learning Blog

Solution overview The following diagram illustrates the solution architecture. files) in a given Amazon S3 path: model_name = "DEMO-MONAIDeployModel" + strftime("%Y-%m-%d-%H-%M-%S", gmtime()) model_url = "s3://{}/{}/".format(bucket, These two options cover a majority of near-real-time medical imaging inference pipeline use cases.

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What Is Alation Connected Sheets? Q&A with the Creators

Alation

We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or data lake. They had reached out to us as they were struggling to give their finance teams self service-access to data from Oracle. We’ve got you covered: Join a self-guided demo.

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Using Comet for Interpretability and Explainability

Heartbeat

Imagine a self-driving car navigating the streets; you’d want to know how and why it’s making the choices it does. Comet: An Overview Now that we’ve established the critical importance of model interpretability and explainability, let’s introduce you to the star of the show: Comet. import comet_ml # Initialize Comet.ml

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

In this blog, I’ll share a quick high-level overview of the event, with an eye to core themes. We had a great time meeting with customers and demonstrating how a data intelligence platform delivers visibility across the data stack with demos. Let’s dive in! Mitesh Shah , VP of Product Marketing, took the stage to answer this question.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

Overview of Knowledge Bases for Amazon Bedrock Knowledge Bases for Amazon Bedrock supports a broad range of common file types, including.txt,docx,pdf,csv, and more. Build a knowledge base for Amazon Bedrock In this section, we demo the process of creating a knowledge base for Amazon Bedrock via the console.

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