In every industry, AI is creating a fundamental shift in what’s possible, enabling new use cases and driving business outcomes. While organizations around the world are recognizing the value and potential of AI, to be truly effective, AI must be tailored to specific industry needs.
Today, we’re announcing modified AI models that expand our industry capabilities and enable organizations to more accurately and efficiently address their unique needs. Working with expert industry partners such as Bayer, Cerence, Rockwell Automation, Saifr, Siemens Digital Industries Software, Sight Machine and others, we make these tuned models available, pre-trained on industry-specific data, to reach customers. top use cases.
The foundation of these customized AI models is Microsoft Cloud, our platform for industrial innovation. By integrating the Microsoft Cloud with our industry-leading capabilities and robust partner ecosystem, we provide a secure approach to driving innovation across industries. This collaboration enables us to build large-scale scenarios for customers around the world with integrated 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.
Introducing customized AI models 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 through the Azure AI Model Catalog, where customers can access a wide range of AI models to build their own AI solutions in Azure AI Studio, or directly from our partners. Models available in the Azure AI Model Catalog can also be used to configure agents in Microsoft Copilot Studio, a platform that enables customers to create, customize, and deploy AI agents that can be applied to the industry’s most common use cases to solve their problems. most urgent needs.
- Bayera global business with core competencies in life sciences, healthcare and agriculture, will make ELY Crop Protection available in the Azure AI model catalog. A specialized SLM, it is designed to improve crop protection through sustainable use, application, compliance and knowledge within the agricultural sector. Built on Bayer’s agricultural intelligence and trained on thousands of real Bayer crop protection label questions, this model provides organizational units, their partners and developers with a valuable tool for tailoring solutions to specific food and agricultural needs. The model stands out for its commitment to responsible AI standards, scalability to farm operations of all types and sizes, and customization options that allow organizations to tailor the model to regional and crop requirements.
- Cerencewhich creates intuitive, seamless user experiences with artificial intelligence for the world’s leading car manufacturers, enhances its in-vehicle digital assistant technology with fine-tuned SLM in the vehicle’s hardware. CaLLM™ Edge, an embedded automotive-specific SLM, will be available in the Azure AI model catalog. It can be used for in-car controls, such as adjusting air conditioning systems, and scenarios that involve limited or no cloud connectivity, allowing drivers to access the rich and responsive experiences they expect from large cloud-based language models (LLMs), regardless of to where they are.
- Rockwell Automationa global leader in industrial automation and digital transformation, will provide industrial AI expertise through the Azure AI model catalog. The FT Optix Food & Beverage model brings the benefits of industry-leading capabilities to front-line workers in manufacturing and supports food and beverage asset solutions. The model provides timely recommendations, explanations and knowledge about specific production processes, machines and inputs for factory workers and engineers.
- Cypher, RegTech at Fidelity Investments’ innovation incubator, Fidelity Labs, will introduce four new models in the Azure AI model catalog to enable financial institutions to better manage compliance in broker-dealer communications and investment advisor advertising. Models can highlight potential compliance risks in text (Retail Marketing Compliance model) and images (Image Detection model); explain why something has been flagged (risk interpretation model); and propose an alternative language that might be more satisfactory (language design model). Together, these models can improve regulatory compliance by acting as another set of inspection eyes and increase efficiency by speeding review turnarounds and time to market.
- Siemens Digital Industries software, which helps organizations of all sizes digitally transform with the software, hardware and services of the Siemens Xcelerator business platform, introduces a new co-pilot for NX and simplifies complex design tasks for faster and smarter product development. The second pilot will provide CAD designers with AI-driven recommendations and best practices to optimize the design process within the NX X environment, helping engineers more quickly implement best practices to ensure expected quality from design to manufacturing. Copilot NX X will be available on Azure Marketplace and other channels.
- Aiming machinea leader in data-driven manufacturing and industrial AI, releases Factory Namespace Manager to the Azure AI model catalog. The model analyzes existing factory data, learns patterns and rules behind naming conventions, and then automatically translates those data field names into standardized enterprise formats. This translation makes the universe of plant data in a manufacturing enterprise AI-ready, enabling manufacturers to optimize plant production and energy consumption, balance production with supply chain logistics and demand, and integrate plant data with enterprise data systems for end-to-end optimization. . Enough company Swire Coca-Cola USA plans to use the Factory Namespace Manager to efficiently map its extensive PLC and factory data into an enterprise data namespace.
We also support innovation in the open source ecosystem and offer five open source Face hugging models that are tuned for summarizing and analyzing the sentiment of financial data.
Additionally, last month we announced new healthcare AI models in Azure AI Studio. These state-of-the-art models of the fundamentals of multimodal medical imaging, created in collaboration with organizations such as Providence and Paige.aienable healthcare organizations to integrate and analyze different types of data and use intelligence in modalities other than text in specialties such as ophthalmology, pathology, radiology and cardiology.
Accelerating transformation with industrial agents
Microsoft also offers AI agents that are purpose-built for industrial scenarios. These agents available in Copilot Studio can be configured to support the specific needs of organizations. For example, retailers can use the Store Operations Agent to support retailers and the Personalized Shopping Agent to improve the customer shopping experience. With the Factory Operations Agent, manufacturers can increase production efficiency and reduce downtime by enabling engineers and frontline workers to quickly identify and fix problems.
All of these AI innovations wouldn’t be possible without a solid data pool, because AI is only as good as the data it’s built on. By ensuring that data is accurate, accessible and well-integrated, organizations can unlock deeper insights and drive more effective decision-making with AI. Microsoft Fabric, a data platform built for the AI era, helps unify disparate data sources and prepares data for advanced AI analysis and modeling. It offers industry data solutions that address the unique needs of each organization, enabling them to discover, deploy and do more with AI.
At the forefront of safe solutions for industry needs
At the core of our AI strategy is a commitment to trustworthy AI. This commitment includes safety, security and privacy, ensuring that AI solutions are built with the highest standards of integrity and accountability. Trusted AI underpins everything we do, from how we work with customers to the capabilities we build into our products.
At Microsoft, we combine AI experience, insights and capabilities with a deep understanding of customer challenges and goals. Together 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 customers succeed by embedding AI at the very core 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’s clear that AI will play a key role in shaping the future of business across all industries, and that Microsoft will continue to lead the way. To learn more about how AI is transforming customers across industries, visit How AI is Transforming Businesses in the Real World.