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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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Conversation Intelligence Vs Conversational Intelligence: The Difference Is Much Greater Than You Think!

SmartKarrot

It encompasses the development and application of conversational agents, chatbots, and virtual assistants that can understand human language, respond appropriately, and even simulate human-like conversations. For example, if the user asks for the latest news headlines, the platform may connect to a news API to gather relevant information.

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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.