Remove Accountability Remove APIs Remove Chatbots Remove Revenue potential
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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

AWS Machine Learning

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. The end goal was to create a chatbot that would seamlessly integrate publicly available data, along with proprietary customer-specific Q4 data, while maintaining the highest level of security and data privacy.

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7 Ways to Automate Customer Service (Without Sacrificing Quality)

JivoChat

While some fears of chatbots stealing jobs persist, the reality is that customers now prefer the convenience of support automation, and businesses are profiting in many ways. Chatbots will drive $142 billion in consumer spending by 2024 — a meteoric surge from $2.8 Increases revenue potential. Configure a chatbot.