We are excited to introduce Phi-3, a family of small open models with the capability of 10 times larger models, developed by Microsoft and optimized for Azure AI.
We are announcing the private preview of manufacturing data solutions in Fabric and copilot template for factory operations on Azure AI, under the Microsoft Cloud for Manufacturing. These solutions help manufacturers unify their OT and IT data estate and accelerate and scale data transformation for AI on Fabric, our end-to-end analytics SaaS based platform.
The show serves as a powerful stage to witness firsthand the profound impact of AI on the industry. At Microsoft, we are bringing these elements to life across our platform and ecosystem. Attendees will see that we have moved beyond hype and are deploying this technology at scale powered by data and the Microsoft Cloud.
By embracing these changes strategically and leveraging Azure Data Manager for Energy and tools from independent software vendors, such as KADME, companies can maximize the value of their legacy assets while embracing the future of data integration and analysis. This can go further with generative AI applications that go beyond personal productivity.
After the excitement of HIMSS24, healthcare organizations are harnessing AI momentum leveraging our partner network to bring transformative healthcare solutions to market. Our presence at the event revolved around the theme ‘shaping a healthier future.
Today, we are announcing that Azure AI Search, a modern retrieval system for AI applications, now has drastically larger vector capacity and compute without any increase in price, so customers can run RAG at any scale, at a lower cost.
Fueling groundbreaking innovations, Azure AI infrastructure comprises of technology from NVIDIA, AMD, and our own AI accelerator, as we announced last November. In this blog, we will dive deeper into the technology and journey of developing Azure Maia 100, Microsoft’s first in-house AI accelerator optimized for Microsoft Azure AI infrastructure.
Generative AI provides more possibilities than can be addressed in series of blogs. Understanding what others have done can help guide your thinking and approach. The level of creativity increases daily, and we will all watch the space with anticipation of the most impactful use cases for retail and consumer goods companies.
We recently published our Microsoft Azure: The State of AI Infrastructure report. This is the first-ever report of its kind, which discusses the opportunities and challenges associated with leveraging AI infrastructure.
To help customers meet new AI quality and safety challenges, we’re announcing new tools now available or coming soon to Azure AI Studio for generative AI app developers.
To help customers meet new AI quality and safety challenges, we’re announcing new tools now available or coming soon to Azure AI Studio for generative AI app developers.
Microsoft Azure has delivered industry-leading results for AI inference workloads amongst cloud service providers in the most recent MLPerf Inference results published publicly by MLcommons.