Synthetic Data with AI and IoT | Tonic AI's Adam Kamor | Internet of Things Podcast
Adam Kamor, Co-Founder and Head of Engineering at Tonic AI, explains how the company generates synthetic data to help organizations de-identify sensitive production databases and augment machine learning training sets. He details the distinction between generating static tabular data and complex time-series event streams for IoT simulations, emphasizing the need to preserve longitudinal relationships in sensor data. Kamor also discusses the privacy risks of fine-tuning large language models on sensitive data, such as medical records, and the challenges of integrating generative AI into regulated industries.