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Slack delivers native and secure generative AI powered by Amazon SageMaker JumpStart

AWS Machine Learning

For example, users can ask a question in plain language and instantly get clear and concise answers with enhanced search. They can catch up on channels and threads in one click with conversation summaries. And they can access personalized, daily digests of what’s happening in select channels with the newly launched recaps.

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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. It’s straightforward to set up and try—give it a go!

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Four Ways CSPs Can Use AI to Gain New Subscriber Insights, Out-Market OTT Competitors and Deliver a Better Customer Experience

Guavus

Putting AI and analytics tools to work alongside their deep-packet inspection (DPI) classification engines, providers can learn a lot more about their customers, then categorize them in understandable ways that allow the provider’s marketing department to approach them with targeted, personalized and meaningful service offers.

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Intelligent Automation in Call Centers: A Paradigm Shift in Customer Service Excellence

NobelBiz

Many CCaaS (Contact Center as a Service) providers in the market operate within multi-tenant cloud environments, which often offer limited access to the data necessary for advanced automation. It’s like the premium gas you put in a sports car – it makes everything run smoother, faster, and more efficiently.