What is Conversational Intelligence AI?

Conversational Intelligence AI is a rapidly growing field that uses state-of-the-art AI research to derive intelligent, actionable insights from conversational data at scale. This technology enables sales and marketing teams to flag key sections of conversations, automatically identify risks or opportunities, coach representatives on best practices, identify buying patterns or other trends, and more. The main difference between Conversational Intelligence AI and Conversational AI is that the former focuses on processing large amounts of conversational data, while the latter imitates human conversations through virtual agents or website chatbots. Conversational Intelligence AI typically involves a tool on a platform or software that records audio and video conversations, transcribes them, and applies advanced AI models like summarization or Sentiment Analysis to provide users with readable text of the conversation and detailed analysis. Key benefits of Conversational Intelligence AI include automated note-taking, fast reviewing of conversations at scale, identifying key areas of conversation, coaching new agents and representatives on conversational best practices, gaining visibility across all touchpoints for data-driven decisions, fine-tuning marketing strategies, scoring, tagging, and qualifying calls automatically, and identifying industry trends. Some challenges faced by Conversational Intelligence AI include keeping up with the rapidly advancing field of AI research and ensuring that AI models used in tools are continuously state-of-the-art. Companies can mitigate these challenges by partnering with an AI company that provides scalable, secure, production-ready AI models built using the latest research innovations. Looking forward, advances in AI, Deep Learning, and Machine Learning research will provide further opportunities for companies to build competitive Conversational Intelligence AI products and enhance their utility as more accurate AI models are developed.