In this episode of The Swine Health Blackbelt Podcast, Dr. Ben Blair from the University of Illinois explains how AI is reshaping disease modeling, real-time monitoring, and data interpretation in swine health. He breaks down practical tools producers can use today, the challenges behind data quality, and how other industries guide the future of AI in livestock systems. Tune in now on all major platforms."AI is allowing computers to detect patterns that traditional analysis often misses, especially when large and complex datasets overwhelm manual interpretation."𝗠𝗲𝗲𝘁 𝘁𝗵𝗲 𝗴𝘂𝗲𝘀𝘁: Dr. Ben Blair is an Assistant Professor at the University of Illinois College of Veterinary Medicine, with expertise in computational disease modeling and AI applications for livestock systems. His background spans veterinary medicine, engineering, consulting, and advanced research focused on improving decision-making in swine health. Liked this one? Don’t stop now — Here’s what we think you’ll love!What you will learn:(00:00) Highlight(00:53) Introduction(01:23) Guest background(03:37) AI fundamentals(08:50) Computer vision(10:09) Industry examples(12:04) AI challenges(16:13) Closing thoughtsThe Swine Health Blackbelt Podcast is trusted and supported by innovative companies like:* Boehringer Ingelheim- Elanco𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.Website: The Swine Health Blackbelt PodcastInstagram: Swine CampusLinkedIn: Swine Campus

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