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Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

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Build and train ML models using a data mesh architecture on AWS: Part 2

AWS Machine Learning

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large enterprise with multiple lines of business (LOBs) and a Center of Excellence (CoE) for analytics and ML. In this post, we address the analytics and ML platform team as a consumer in the data mesh.

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Custom Payment Solutions: Your Competitive Edge in a Digital World

CSM Magazine

Understanding Custom Payment Solutions When it comes to payment processing, one size definitely doesn’t fit all. Providing choices like direct bank transfers, cards, and digital wallets reduces abandoned carts and lifts sales. Every business has its own unique needs and requirements.

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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.

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Amazon Comprehend Targeted Sentiment adds synchronous support

AWS Machine Learning

Today, we’re excited to announce the new synchronous API for targeted sentiment in Amazon Comprehend, which provides a granular understanding of the sentiments associated with specific entities in input documents. The Targeted Sentiment API provides the sentiment towards each entity.

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Best Cloud Phone Software Guide

JustCall

All you need is your PC, mobile, or any internet-ready device where you can deploy your corporate communication framework using APIs. Providers host cloud phones through data networks that bank on multiple servers across geographies and use redundancy. Also, Aircall supplies APIs and webhooks. Why Choose RingCentral?

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JustCall Auto Dialer vs. Mojo Dialer: Which Dialer Is Better for Your Business? [Expert Comparison]

JustCall

And when you think about the range of features the latter offers at $49 per user per month — all 3 dialers, bulk SMS campaigns and workflows, live call monitoring , advanced analytics and reporting, API and webhooks, live call monitoring, and so much more, it is simply astounding.