How Predictive Analytics Will Transform Food Safety with Dr. Vera Petrova Dickinson
Episode Summary
In this episode of Food Tech Talk: Supply Chain Insights From Farm to Fork, Lydia Adams interviews Dr. Vera Petrova Dickinson about her journey from food microbiologist to tech entrepreneur as the founder of Innova-Q, a predictive analytics platform, to address the industry’s reactive approach to quality management through AI-powered solutions.
Listen to Dr. Vera explain how the universal challenges of outdated technologies and reactive processes in the food industry uncovered a need for pragmatic, affordable. practical, affordable solutions that help companies move from constantly putting out fires to proactive prediction. The pair discuss how AI and predictive analytics can transform food safety from a perceived cost center to a revenue drive, including specific examples of how companies can save 2-4% of their revenue with better data integration and predictive capabilities.
Throughout the episode, Dr. Vera discusses Innova-Q’s two main products: In-Q Knowledge Center, which streamlines compliance and documentation, and Quality Performance Forecast for predictive analytics. She emphasizes how these tools help companies reduce waste, improve sustainability, and accelerate product development while maintaining safety standards.
Download the fiull episode for a batch of fresh perspectives on AI’s future role in food safety and learn more about Dr. Vera’s — and Innova-Q’s — mission to make the industry safer through technology adoption.
