The conversation intelligence landscape is evolving, driven by advancements in speech recognition and context understanding. Larry Heck, a pioneer in speech technology, shares his insights on human-to-human conversations, augmentation of meetings, and the importance of building feedback loops into conversation intelligence products. He emphasizes the need for passive systems to learn from humans before being active, citing technical challenges such as open microphone as obstacles to progress. The industry is moving towards more robust and contextual AI solutions that can augment human conversations, rather than interrupting them. Heck believes that augmentation technology has the potential to enrich communication channels between humans. The key to successful conversation intelligence lies in understanding the importance of feedback loops, which require businesses to effectively communicate value from day one, even when the technology is not fully polished. Heck's vision for the future of conversation intelligence involves creating systems that can recognize context, understand conversations, and make higher-level inferences and reasoning. This requires injecting knowledge into the technology stack, including business knowledge, to enable more effective human-machine interactions. With his expertise and experience, Heck is poised to drive innovation in this rapidly evolving field.