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Let's Be Clear - Sustainability Is All About Staying In Business

By Dr. Sara Place

When people think about sustainability, they often have different interpretations from others. That is what makes grasping the concept of a sustainable beef operations so difficult sometimes, according to Dr. Sara Place of Oklahoma State University’s Animal Science Department. Specializing in the area of sustainable beef practices, Dr. Place tells Radio Oklahoma Network’s Ron Hays that she likes to define sustainability as a multifaceted way of thinking.

“The way I always like to define sustainability, if you are an individual beef producer,” Place said, “is that you’re going to be paying attention to long-term business viability, stewardship of the natural resources you’re taking care of, and thinking about the responsibility to your family, to the bigger community and of course to the animals.”

Dr. Place says that like any business that wants to accomplish anything, your first consideration has to be the economics; you have to stay in business to do anything, including being sustainable. Stewardship of your resources, she says, could entail how you manage your forage program or what steps you take to create wildlife habitat on your property.

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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.