Microsoft is advancing industry-focused AI innovation with the introduction of adapted AI models designed to meet unique sector requirements. Developed in collaboration with leading partners like Bayer, Cerence, Rockwell Automation, Siemens Digital Industries Software, and others, these models are pre-trained using industry-specific data and tailored to address top use cases across various sectors.
The adapted AI models are built on Microsoft’s Phi family of small language models (SLMs) and are available through the Azure AI model catalog. This platform enables customers to build custom AI solutions in Azure AI Studio or directly access models via Microsoft’s ecosystem of partners. Additionally, these models can integrate with Microsoft Copilot Studio to configure AI agents that address pressing challenges in specific industries.
Bayer exemplifies the potential of this approach with E.L.Y. Crop Protection, a specialized SLM designed to enhance sustainable crop protection practices. Available in the Azure AI model catalog, the model leverages Bayer’s agricultural expertise and is trained on real-world crop protection scenarios. It supports scalability, regional customization, and adherence to responsible AI standards, providing agricultural organizations with a tool to address crop-specific and regional needs effectively.
These innovations are supported by the Microsoft Cloud, which integrates AI capabilities with secure, scalable solutions to drive innovation globally. Through this platform and a robust partner ecosystem, Microsoft continues to enable industries to unlock new possibilities, optimize operations, and achieve transformative outcomes.
