Here's a neutral and interesting summary of the provided text: Real-time passive conversation intelligence analyzes human conversations as they happen, extracting meaningful insights such as topics, action items, intents, and sentiments. This technology can be used in various workflows or products to improve sales, productivity, and customer experiences. It can be either active or passive, with passive CI running quietly in the background, absorbing what's being said with human-like understanding, and then surfacing relevant information at exactly the right time. Real-time passive conversation intelligence can be applied in customer support, sales calls, meetings, and other contexts where human-to-human conversations are involved. It can provide valuable insights such as identifying important topics, questions, action items, and decisions, suggesting contextual insights, creating highly-accurate transcripts, and automating actions and follow-ups. Implementing real-time passive conversation intelligence requires careful consideration of capabilities such as speech recognition, streaming conversations, sentiment analysis, and automation. APIs like Symbl can help developers solve these problems faster, providing flexible APIs, SDKs, and out-of-the-box integrations to make it easier to implement this technology.