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Alida gains deeper understanding of customer feedback with Amazon Bedrock

AWS Machine Learning

Alida helps the world’s biggest brands create highly engaged research communities to gather feedback that fuels better customer experiences and product innovation. Open-ended survey questions allow responders to provide context and unanticipated feedback. This post is co-written with Sherwin Chu from Alida.

Feedback 119
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How will the economic downturn affect Customer Success? Learn from three SaaS CEOs.

ChurnZero

Discover the lessons these three SaaS CEOs have learned from leading customer-centric businesses through an economic slump, and how you can apply them. A SaaS business’s greatest source of intel is direct customer feedback. They are best positioned to find, synthesize, and contextualize feedback.

SaaS 98
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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). They’re illustrated in the following figure.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

As generative AI models advance in creating multimedia content, the difference between good and great output often lies in the details that only human feedback can capture. Amazon SageMaker Ground Truth enables RLHF by allowing teams to integrate detailed human feedback directly into model training.

APIs 86
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The SaaS Debate: Who Owns the Renewal and Upsell? Customer Success vs. Sales

ChurnZero

Whether Customer Success or Sales should own the renewal, expansion, and upsell is a hot-button issue in today’s SaaS sphere. As such, we decided to tap industry experts for a verbal duel on the subject where the winners take home the esteemed (and priceless) prize of bragging rights and SaaS street cred. Just not by the CSM.”.

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Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference

AWS Machine Learning

Scenario 5: Update facing insufficient capacity In scenarios where there isnt enough GPU capacity, SageMaker AI provides clear feedback about capacity constraints. Andrew Smith is a Cloud Support Engineer in the SageMaker, Vision & Other team at AWS, based in Sydney, Australia. Consider if you have an endpoint running on 30 ml.g6e.16xlarge

APIs 89