Here is a one-paragraph summary of the text: Conversation intelligence in contact centers uses AI to automatically analyze customer interactions, turning raw data into actionable insights that drive operational efficiency and customer satisfaction. The technology combines speech-to-text transcription with advanced analytics to extract meaningful patterns across thousands of conversations, identifying customer sentiment, detecting compliance issues, spotting sales opportunities, discovering trends or issues, and suggesting next best actions during live conversations. Companies like Calabrio, Aloware, Genesys, NICE Enlighten, Observe.AI, and Voyc.ai offer conversation intelligence solutions that cater to specific needs, from small businesses to large enterprises, with features such as AI-powered analytics, transcription, sentiment analysis, and coaching workflows. Implementing conversation intelligence requires a clear approach, including defining goals, selecting the right technology, integrating with existing systems, training teams, and measuring results against clear KPIs. By leveraging accurate speech AI models, these platforms deliver tangible benefits to contact centers, enabling them to improve customer experiences, reduce costs, and boost performance.