Registration Now Open For Dairy Production Medicine (DPM) VII

Feb 24, 2015

Registration Now Open for Dairy Production Medicine (DPM) VII

The DPM Certificate Program VII will update and refocus the dairy practitioner by providing skills and knowledge in production medicine.

The program consists of ten 3-day intensive workshops over a 2 ½ year time period, enabling veterinarians to gain skills and knowledge to help them increase the health and productivity of their client's herds, as well as increase the value of their consulting services.

The DPM Program offers continuing education credits for each module. The amount of credits awarded is determined based on the amount of instructional and hands-on hours involved, and generally ranges from 15-20 per module.

The structure of DPM will include seven core modules plus three optional modules in specialty areas. Previous DPM participants are welcome to attend modules of their choice. Practitioners are encouraged to enroll in the entire course, but individual modules can be attended.

DPM VII modules will be held at the Ramada Conference Center in State College starting in May 2015.

Source:psu.edu

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.