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How Predictive Analytics Will Transform Food Safety with Dr. Vera Petrova Dickinson

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Manage episode 454804535 series 3469093
Content provided by Katy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of Food Tech Talk, Lydia Adams interviews Dr. Vera Petrova Dickinson about her journey from food microbiologist to tech entrepreneur. After two decades in corporate food safety roles, Dr. Vera founded Innova-Q to address the industry's reactive approach to quality management through AI-powered solutions.
Dr. Vera explains how her experience at major food companies revealed universal challenges with outdated technologies and reactive processes. She describes Innova-Q's mission to create practical, affordable solutions that help companies move from firefighting to prediction.
The conversation explores how AI and predictive analytics can transform food safety from a perceived cost center to a revenue driver. Dr. Vera shares specific examples of how companies can achieve 2-4% revenue savings through 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.
The discussion concludes with Dr. Vera's perspectives on AI's future role in food safety and her mission to make the industry safer through technology adoption. She stresses that companies not embracing these technologies risk falling behind as the industry evolves.
Food Tech Talk: Supply Chain Insights From Farm to Fork is handcrafted by our friends over at: fame.so
Check out our three most downloaded episodes:
  continue reading

48 episodes

Artwork
iconShare
 
Manage episode 454804535 series 3469093
Content provided by Katy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of Food Tech Talk, Lydia Adams interviews Dr. Vera Petrova Dickinson about her journey from food microbiologist to tech entrepreneur. After two decades in corporate food safety roles, Dr. Vera founded Innova-Q to address the industry's reactive approach to quality management through AI-powered solutions.
Dr. Vera explains how her experience at major food companies revealed universal challenges with outdated technologies and reactive processes. She describes Innova-Q's mission to create practical, affordable solutions that help companies move from firefighting to prediction.
The conversation explores how AI and predictive analytics can transform food safety from a perceived cost center to a revenue driver. Dr. Vera shares specific examples of how companies can achieve 2-4% revenue savings through 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.
The discussion concludes with Dr. Vera's perspectives on AI's future role in food safety and her mission to make the industry safer through technology adoption. She stresses that companies not embracing these technologies risk falling behind as the industry evolves.
Food Tech Talk: Supply Chain Insights From Farm to Fork is handcrafted by our friends over at: fame.so
Check out our three most downloaded episodes:
  continue reading

48 episodes

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