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Connecting Amazon Redshift and RStudio on Amazon SageMaker

AWS Machine Learning

Users can also interact with data with ODBC, JDBC, or the Amazon Redshift Data API. However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling. Solution overview.

APIs 106
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A Comprehensive Guide to Virtual Call Center and Contact Centers

Hodusoft

Virtual call and contact centers have become the new norm in the present time instead of being an optional feature for businesses seeking flexibility in their operations. Personalized Customer Experiences Virtual call center platforms often include features like advanced analytics, customer segmentation, and personalized scripting tools.

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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning

In addition to existing capabilities, businesses need to summarize specific categories of information, including debit and credit data from documents such as financial reports and bank statements. In the current scenario, you need to dedicate resources to accomplish such tasks using human review and complex scripts.

APIs 75
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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

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Enriching real-time news streams with the Refinitiv Data Library, AWS services, and Amazon SageMaker

AWS Machine Learning

In this post, we present a prototype AWS architecture that ingests our news feeds using RD Libraries and enhances them with machine learning (ML) model predictions using Amazon SageMaker , a fully managed ML service from AWS. We present this prototype in a series of three detailed blueprints. Building and deploying the prototype.

Scripts 66
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Churn prediction using Amazon SageMaker built-in tabular algorithms LightGBM, CatBoost, TabTransformer, and AutoGluon-Tabular

AWS Machine Learning

Customer churn is a problem faced by a wide range of companies, from telecommunications to banking, where customers are typically lost to competitors. The training and inference scripts for the selected model or algorithm. They can process various types of input data, including tabular, image, and text.

Scripts 69
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Chatbot: Complete Guide

JivoChat

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. It presents several options and the person chooses what product or service they want, increasing the chances to convert the user into a lead or a buyer. Or you can connect to another platform via our API. JivoChat Partners: Dahi.ai