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Microsoft launched specialised industry specific AI models, aiming to enhance operational efficiency and innovation. These models, fine-tuned with industry-specific data, are now available through Microsoft’s online model catalogue.
On 14 November 2024, Satya Nadella, Microsoft’s chairman and CEO, recently announced this in a post on LinkedIn.
Microsoft states that even though organisations around the world recognise AI’s potential, it must be tailored to specific industry needs to be truly effective.
The company has adapted these AI models to operate within its Cloud platform. By merging the Microsoft Cloud with tailored industry tools and an extensive partner ecosystem, Microsoft aims to provide a secure framework for innovation across various sectors.
This collaboration facilitates diverse applications worldwide, integrating AI features that range from data solutions in Microsoft Fabric to AI agents in Copilot Studio and specialised models in Azure AI Studio.
These AI-driven tools are designed to help industries leverage data and technology more effectively, potentially enabling organisations to enhance productivity and fully harness their capabilities.
Industrial and Even Agricultural
Bayer, a German pharmaceutical and agricultural company, has developed an AI model using its proprietary data to assist with agronomy and crop protection queries. This model is accessible to distributors, AgTech startups, and competitors.
Sachi Desai, senior director of strategy at The Climate Corporation and part of Bayer’s digital farming organisation stated, “This will help foster an environment to deploy interesting features and solutions quickly.”
Claudia Roessler, principal program manager (agriculture) at Microsoft, also announced this: “Built on Bayer’s extensive agricultural intelligence and trained on thousands of real-world questions, Bayer’s E.L.Y. Crop Protection model leverages Microsoft’s Phi family of SLMs for faster processing and lower costs.”
Other companies launching their industry-specific AI models include Rockwell Automation, Saifr, Sight Machine, Cerence, and Siemens Digital Industries Software.
Vall Herard, Saifr’s CEO, announced that, as part of its partnership with Microsoft Azure AI, the company is making two generative AI models (Saifr Language Suggestion and Saifr Risk Interpretation) and two classifier models (Saifr Retail Marketing Compliance and Saifr Image Detection) available to generative AI builders, clients, software partners, and app developers.
As the CEO stated, “These tools are designed to support the development of AI applications with regulatory compliance in mind.”
This initiative reflects Microsoft’s strategy to accelerate enterprise adoption of generative AI by providing more relevant and fine-tuned models, potentially transforming industry practices.
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