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Canadian dairy plant becomes unlikely symbol of defiance for Ukrainian farmers

The cows on Lyuba Pastushok's farm are like her "cheeky children," she explained in Ukrainian as she walked among her growing herd, gently cooing to them and softly petting their heads.

A few years ago there were only five cows on her small family operation in Holoskovychi, a rural community an hour and a half east of the nearest city of Lviv, in western Ukraine.

Now she tends to 25 cows, six of which she bought after Russian forces invaded the country. 

Wrapped up against the cold with a kerchief tied over her head, the Ukrainian matriarch pointed out each by name, her voice full of motherly pride.

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What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.