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What is a good Net Retention Rate in SaaS?

CustomerSuccessBox

The net revenue retention rate which you may also state as the net retention rate in SaaS businesses is an indicator that depicts the profits and the revenue earned by the business. For the cloud-scale applications, Datadog monitors the servers, tools, databases, and services, with a data analytics platform that is SaaS-based.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Talk with AWS experts in 14 different industries and explore industry-specific generative AI use cases, including demos from advertising and marketing, aerospace and satellite, manufacturing, and more. Additionally, SaaS providers need scalable and cost-effective ways to serve hundreds of models to their customers.

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Alida gains deeper understanding of customer feedback with Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon via a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. You can request service quota increases through the console, AWS Command Line Interface (AWS CLI), or API to allow access to those additional resources. We use an ml.t3.medium

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Why Behavioural Data and Behavioural Analytics Have Become the Secret Ingredient for Product Led Growth!

SmartKarrot

SaaS businesses, more than any other, is dependent on the customer. When companies discovered this and User Interface (UI) and Customer Experience (CX) overtook other measures of SaaS success, the way business is done shifted from market oriented one to a product led one. Enter the SaaS dragon – data.

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Architect personalized generative AI SaaS applications on Amazon SageMaker

AWS Machine Learning

Hundreds of software as a service (SaaS) applications are being developed around these pre-trained models, which are either directly served to end-customers, or fine-tuned first on a per-customer basis to generate personal and unique content (such as avatars, stylized photo edits, video game assets, domain-specific text, and more).

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