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RECORD COLLECTORS UNITE — THERE’S POWER IN NUMBERS

Ranching without records is like travelling without a map. Records tell you where you’ve been and where you are. Connecting those dots tells you where you’re heading. If you don’t like that destination, records can help decide how to adjust your management. When producer records are combined, you can tell where you are with respect to the overall industry and how the industry is progressing over time.

Industry data is critical for research, too. In 2012 the BCRC held a research priority workshop with cattle producers, researchers, extension staff and veterinarians. Feedlots are very data driven, work closely with large consulting veterinary practices and follow somewhat similar management practices. Their top concerns were dialed-in on bovine respiratory disease, lameness and acidosis. The cow-calf group had a much harder time. Limited record keeping, tremendous regional variation in calving seasons, climate, grazing management, winter feeding, etc., and less regular contact with veterinarians meant that information on the sector’s leading animal health challenges was lacking.

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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.