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VentureBeat
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Microsoft brings AI to the farm and factory floor, partnering with industry giants
- Microsoft has developed a new suite of specialist AI models created to target specific challenges in agriculture, manufacturing and the financial services industry
- By collaborating with partners like Siemens, Bayer and Rockwell Automation, Microsoft is aiming to bring advanced AI technologies to sectors that have traditionally relied on more traditional methods and tools
- This reflects a broader company strategy that seeks to move beyond general purpose AI and into solutions that can offer immediate operational improvements to industries such as agriculture and manufacturing, under increasing pressure to innovate
- Microsoft’s Phi family of small language models (SLMs) are playing a critical role in this initiative, designed to carry out specific tasks while consuming less computing power
- This may address the limited computing resources available in sectors such as manufacturing, where companies need efficient AI models that can operate effectively on the factory floor
- Early adopters of the systems such as Swire Coca-Cola USA have seen great potential for gains in both efficiency and decision-making
- The initiative also extends into the automotive and finance sectors, with AI models designed to assist car drivers with a voice assistant and to help financial institutions with regulatory compliance
- The new system is set to introduce industry-specific AI models that can be custom-built to address specific business challenges, a strategy not adopted by rivals like AWS and Google Cloud
- Microsoft's strategy could accelerate the adoption of AI in sectors like agriculture and manufacturing, facilitating faster AI adoption in sectors that have been slower to embrace new technologies
- The availability of these AI models through Azure AI Studio and Microsoft Copilot Studio speaks to Microsoft's broader vision of making AI accessible to businesses in every sector, helping to bring AI out of the lab and into the real world
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