Remove APIs Remove Chatbots Remove CRM 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. As part of their daily duties, IROs analyze diverse datasets, including CRM, ownership records, and stock market data. In Q4’s solution, we use Amazon Bedrock as a serverless, API-based, multi-foundation model building block.

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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.