Brion Johnson

Brion Johnson, Director of Presales at TechSee, dives deep into the pitfalls of dirty data in AI implementations. He uses a motorcycle trip analogy to illustrate the risks of poor data quality. The discussion reveals how high-quality, timely, and accurate data can significantly enhance AI-driven customer experiences. Brion shares action steps to prioritize data cleanliness, tackle automation challenges, and harness multi-modal inputs for better resolutions. Moreover, he highlights the power of visual support in reducing resolution times and minimizing unnecessary field visits.