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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

Powered by Amazon Lex , the QnABot on AWS solution is an open-source, multi-channel, multi-language conversational chatbot. Customers now want to apply the power of large language models (LLMs) to further improve the customer experience with generative AI capabilities. Contributions are welcome!

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Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

Amazon Cognito for user authentication with Transport Layer Security (TLS). When a user is authenticated to the cluster, the generated token contains group claims, and Kubernetes RBAC uses this information to allow or deny access to a particular resource in the cluster. Cluster security using multi-user isolation.

Groups 75
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2022 Healthcare & Life Sciences Outlook

West Monroe

The trouble is often that, despite that wealth of data, it can still be hard for such large and multi-faceted organizations to make their data as actionable and available as it needs to be to support decision-making—not only across the enterprise but for other stakeholders as well.

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What is the Best Channel for your NPS Surveys – Email, Text or In-app?

Retently

The bias can only be eliminated by improving the response rate and collecting feedback from customers on a consistent basis. However, figuring out the most effective channels to capture customer feedback can be challenging, as businesses have little insights on where and when to survey their customers. Email surveys.

NPS 95