How AI Happens · 2025-03-20 · 32 min
Mica shares the methods behind Augury’s fault testing processes, why they use the highest quality data available, how in-house experts help them filter their data reliably, and their approach to communicating with customers. Our conversation also explores the balance between edge computing and cloud computing, and why both are necessary for optimal performance and monitoring. Key Points From This Episode: Mica’s journey from studying physics at the Weizmann Institute to her current role at Augury. How her background in physics and neuroscience inform her work in AI. Why physicists are drawn to AI and data science; how scientists follow their curiosity. Mica’s responsibilities in her role as algorithms team lead at Augury. How they develop algorithms and test for faults; why this requires the highest quality data. Understanding the role of their in-house expert vibration analysts. The importance of domain expertise in labeling and annotating data. Finding the balance between manual and automated processes in data labeling. How to communicate with customers and present metrics that matter to them. Augury’s use of edge and cloud computing for optimal performance and monitoring.
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