close
close

Apre-salomemanzo

Breaking: Beyond Headlines!

Microsoft Introduces New Industry-Friendly AI Models
aecifo

Microsoft Introduces New Industry-Friendly AI Models

Across all industries, AI is creating a fundamental shift in what is possible, enabling new use cases and driving business outcomes. Although organizations around the world recognize the value and potential of AI, for it to be truly effective, it must be tailored to the specific needs of the industry.

Today, we are announcing tailored AI models, expanding our industry capabilities and enabling organizations to meet their unique needs more accurately and efficiently. Working with expert industry partners such as Bayer, Cerence, Rockwell Automation, Saifr, Siemens Digital Industries Software, Sight Machine and many others, we make these fine-tuned models available, pre-trained using industry-specific data, to meet customer needs. main use cases.

Underpinning these tailored AI models is the Microsoft Cloud, our platform for industrial innovation. By integrating the Microsoft Cloud with our industry-specific capabilities and a robust partner ecosystem, we provide a secure approach to advancing innovation across all industries. This collaboration allows us to create expansive scenarios for customers around the world, with built-in AI capabilities (from industrial data solutions in Microsoft Fabric to AI agents in Microsoft Copilot Studio to AI models in Azure AI Studio) that enable industries to realize their full potential.

Presentation of AI models adapted for industry

We’re excited to introduce these new partner models from leading organizations that leverage the power of Microsoft’s Phi family of Small Language Models (SLMs). These models will be available via the Azure AI template catalog, where customers can access a wide range of AI models to create custom AI solutions in Azure AI Studio, or directly from our partners. Templates available in the Azure AI template catalog can also be used to configure agents in Microsoft Copilot Studio, a platform that allows customers to create, customize and deploy AI-powered agents, which can be applied to core cases use of a sector to meet its needs. most pressing needs.

  • Bayera global company with core competencies in life sciences, healthcare and agriculture, will make ELY Crop Protection available in the Azure AI template catalog. A specialist SLM, it is designed to improve the use, application, compliance and sustainable knowledge of crop protection within the agricultural sector. Built on Bayer’s agricultural intelligence and trained on thousands of real-world questions on Bayer’s crop protection labels, the model provides agricultural entities, their partners and developers with a valuable tool to tailor solutions to food needs and specific agricultural activities. The model stands out for its commitment to responsible AI standards, its scalability for farms of all types and sizes, and its customization capabilities that allow organizations to tailor the model to regional and crop-specific requirements.
  • Cerencewhich creates intuitive, seamless, AI-driven user experiences for the world’s leading automakers, enhances its in-vehicle digital assistant technology with optimized SLMs within the vehicle hardware. CaLLM Edge, an automotive-specific embedded SLM, will be available in the Azure AI template catalog. It can be used for in-vehicle controls, such as adjusting climate control systems, and scenarios that involve limited or no cloud connectivity, allowing drivers to access the rich, responsive experiences they expect from large language-based models. on the cloud (LLM), no matter where they are.
  • Rockwell Automationglobal leader in industrial automation and digital transformation, will provide industrial AI expertise through the Azure AI template catalog. The FT Optix Food & Beverage model brings the benefits of industry-specific capabilities to frontline manufacturing workers, supporting troubleshooting of food and beverage assets. The model provides timely recommendations, explanations and knowledge about specific manufacturing processes, machines and inputs to factory workers and engineers.
  • Saifr, a RegTech within Fidelity Investments’ innovation incubator, Fidelity Labs, will introduce four new templates to the Azure AI template catalog, enabling financial institutions to better manage regulatory compliance of broker-dealer communications and advisor advertising in investment. Models can highlight potential regulatory compliance risks in text (retail marketing compliance model) and images (image detection model); explain why something was reported (risk interpretation model); and suggest alternative language that might be more compliant (language suggestion model). Together, these models can improve regulatory compliance by acting as an additional set of observers and improve efficiency by accelerating review and time-to-market times.
  • Software for digital industries Siemens, which helps organizations of all sizes digitally transform using the software, hardware and services of the Siemens Xcelerator business platform, is presentation a new co-pilot for NX faster and smarter. The Co-Pilot will provide CAD designers with AI-driven recommendations and best practices to optimize the design process within the NX X experience, helping engineers implement best practices faster to ensure expected quality from design to production. NX X Copilot will be available on Azure Marketplace and other channels.
  • Sight machinea leader in data-driven manufacturing and industrial AI, will release Factory Namespace Manager to the Azure AI template catalog. The model analyzes existing factory data, learns the patterns and rules behind naming conventions, and then automatically translates these data field names into standardized enterprise formats. This translation makes the universe of factory data in the manufacturing company AI-ready, enabling manufacturers to optimize production and energy consumption in factories, balance production with logistics and supply chain demand and integrate factory data with enterprise data systems for end-to-end optimization. . The bottling company Swire Coca-Cola United States plans to use Factory Namespace Manager to efficiently map its extensive API and factory data into its enterprise data namespace.

We also encourage innovation in the open source ecosystem and offer five open source solutions Cuddly face refined models for summarizing and sentiment analysis of financial data.

An image from the Azure AI template catalog.
Partner-friendly AI models for industry will be available through the Azure AI Model Catalog or directly from partners.

Additionally, last month we announced new health AI models in Azure AI Studio. These state-of-the-art multimodal medical imaging foundation models, created in partnership with organizations like Providence And Paige.aienables healthcare organizations to integrate and analyze a variety of data types, leveraging intelligence in non-text modalities in specialties such as ophthalmology, pathology, radiology and cardiology .

Accelerate transformation with industry agents

Microsoft also offers AI agents specifically designed for industrial scenarios. Available in Copilot Studio, these agents can be configured to meet the specific needs of the organization sector. For example, retailers can use the Store Operations Agent to assist retail store associates and the Personalized Shopping Agent to improve the customer shopping experience. Manufacturers can use Factory Operations Agent to improve production efficiency and reduce downtime by enabling engineers and frontline workers to quickly identify and resolve issues.

All of this AI innovation wouldn’t be possible without a strong data heritage, because AI is only as good as the data it’s built on. By ensuring data is accurate, accessible and well integrated, organizations can gain deeper insights and make more effective decisions using AI. Microsoft Fabric, a data platform built for the AI ​​era, helps unify disparate data sources and prepares data for advanced analytics and AI modeling. It offers industrial data solutions that meet the unique needs of each organization and enable them to discover, deploy and do more with AI.

At the forefront of safely meeting industry needs

At the heart of our AI strategy is a commitment to trustworthy AI. This commitment encompasses safety, security and privacy, ensuring that AI solutions are built with the highest standards of integrity and accountability. Trustworthy AI is fundamental to everything we do, from how we work with customers to the capabilities we build into our products.

At Microsoft, we combine industry experience, knowledge, and AI capabilities with a deep understanding of customer challenges and goals. With a trusted ecosystem of experienced partners, we unlock the full potential of AI for every industry and business. Our goal is not just to offer or implement AI tools, but to help our customers succeed by integrating AI into the very heart of what every industry does.

The AI ​​transformation is here and Microsoft is at the forefront of this revolution. As we continue to navigate this new era of innovation, it is clear that AI will play a central role in shaping the future of businesses across all industries and that Microsoft will continue to lead the way. To learn more about how customers across various industries are transforming with AI, visit How real-world businesses are transforming with AI.

Tags: AI, Azure, Azure AI Studio, Microsoft-Cloud, Microsoft Copilot, Microsoft Copilot Studio, Trustworthy AI