Predictably Good from Creme Global

Predictably Good - Creme Global Series with Dr. Matt Stasiewicz

CremeGlobal.com Season 1 Episode 1

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0:00 | 31:44

Matt is an Associate Professor of Applied Food Safety in the Department of Food Science and Human Nutrition at the University of Illinois at Urbana-Champaign.  His work uses risk assessment and innovative laboratory methods to advance food safety microbiology.

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Where AI, Machine Learning, and Data Analytics Meet Food Safety

Food safety is at the heart of public health and consumer trust. But in a world of rapidly evolving risks, complex supply chains, and demanding regulatory standards, traditional approaches are no longer enough.

Predictably Good is a podcast that explores how cutting-edge AI, machine learning, and advanced data analytics are reshaping food safety and driving innovation in food manufacturing and regulation. Each episode brings together government regulators, industry leaders, and new product development experts to discuss how technology is helping us predict risks earlier, make better decisions, and build safer, smarter food systems.

From emerging contaminants and regulatory compliance to predictive modeling, smart manufacturing, and future-ready food innovation, our conversations highlight practical insights and real-world applications. Listeners will gain a clearer view of where the industry is headed—and how to stay ahead of the curve.
Join us on Predictably Good and discover how data-driven intelligence is transforming food safety into a competitive advantage.



Who Should Listen:

Food manufacturers and suppliers
Retailers and food safety professionals
Quality and regulatory compliance teams
Procurement and supply chain professionals

Hosted by Cronan McNamare, CEO of Creme Global.