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What is a good Net Retention Rate in SaaS?

CustomerSuccessBox

Best practices: Consumption vs subscription. Best Practices: It has its NRR retained at $2B ARR. Best Practices: 1000 customers of all pay $100k +. Best Practices: Freemium is a direct conversion and lead generation strategy. They have infinite runaway by still having $840 M in the bank.

SaaS 52
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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. If an organization has no AI/ML experts in their team, then an API service might be better suited for them. 15K available FM reference Step 1.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

The workflow includes the following steps: A QnABot administrator can configure the questions using the Content Designer UI delivered by Amazon API Gateway and Amazon Simple Storage Service (Amazon S3). The Content Designer Lambda function saves the input in OpenSearch Service in a question’s bank index. Choose Create function.

Chatbots 105
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Chatbot: Complete Guide

JivoChat

In 1988, Jabberwacky was built by the developer Rollo Carpenter to simulate human conversation for entertainment purposes. Banking Financial institutions are enjoying chatbot features as well, for example by making available chatbots that analyze customer spending habits and give them advice based on that. JivoChat Partners: Dahi.ai

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning

They want to be able to easily try the latest models, and also test to see which capabilities and features will give them the best results and cost characteristics for their use cases. With Amazon Bedrock, customers are only ever one API call away from a new model. Meta Llama 2 70B, and additions to the Amazon Titan family.

APIs 125
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Announcing New Tools for Building with Generative AI on AWS

AWS Machine Learning

Alexa, powered by more than 30 different ML systems, helps customers billions of times each week to manage smart homes, shop, get information and entertainment, and more. We have thousands of engineers at Amazon committed to ML, and it’s a big part of our heritage, current ethos, and future.

APIs 145