Beyond Data Management Podcast
Steve Mandernach interviews Dr. Very Dickinson on using AI to help industry level up food safety and quality for the consumer
What You Can Expect
Practical insights you can apply right away.
Food safety is still shockingly manual and that's a life-or-death problem
Most food manufacturers run quality and compliance on legacy, inflexible systems — think SharePoint-style data silos with PowerBi bolted on. Without real-time data, a near-recall situation can take weeks to trace back to the source, risking human lives and millions in brand damage.
AI can finally give every employee access to compliance knowledge, in real time
Innova-Q's platform unifies regulatory requirements into one AI layer that answers questions differently depending on your role. It's multilingual, available 24/7, and eliminates bottlenecks that leaves teams blind during critical moments.
Not all AI food safety tools are equal, demand validation studies and future-proof compliance
The AI governance framework for food & beverage is still evolving. Buyers must require validation studies proving near-100% accuracy, generic LLMs hallucinate on regulatory questions. Data must stay private, and the platform must be architected to adapt as formal regulations catch up to AI adoption.