Azure AI Foundry is like GPS in your AI ambitions: it simplifies navigating the insane tempo of innovation within the AI panorama so that you see the place you’re as we speak, consider what’s new, and plan, execute, and handle your rising AI portfolio.
I spent many of the final decade within the Midwest (good day, Chicagoland!) however now reside within the Seattle space and work on the Microsoft campus in Redmond. Earlier than shifting right here, I’d visited the Redmond campus dozens of occasions as a Microsoft accomplice and buyer, however had solely primary airport-campus-hotel-restaurant navigation abilities. Relocating a household of 4 meant a variety of exploring to seek out my technique to grocery shops (what do you imply there’s no Mariano’s in Seattle?), colleges, docs, dentists, and so on. I couldn’t have completed it with out GPS: Simply plug within the vacation spot and let it information us, flip by flip, on the quickest, most secure route, avoiding site visitors and roadwork alongside the best way.
The hallmark of fine tech is taking one thing complicated and tense (ever been misplaced in an unfamiliar metropolis?) and making it easy. Wanting over the listing of latest AI capabilities we introduced in simply the previous month, it’s simple to see why turn-by-turn steering is required on this quickly increasing AI panorama. Azure AI Foundry is like GPS in your AI ambitions: it simplifies navigating the insane tempo of innovation within the AI panorama so that you see the place you’re as we speak, consider what’s new, and plan, execute, and handle your rising AI portfolio whereas optimizing prices. All with the boldness that it at all times has the most recent AI factor.
This wayfinding gives dexterity to assist your groups keep nimble as AI presents new strategic alternatives and efficiencies. Listed here are just some new capabilities in Azure AI Foundry this month that present the worth of managing your AI portfolio on a single do-it-all platform.
Fashions: Extra is extra
As I write this there are 1,917 fashions within the Azure AI Foundry mannequin catalog. Selecting one—or three, since many AI apps now use a number of fashions—is less complicated than you would possibly assume when going through an abundance of selection. On Azure AI Foundry, your workforce can rapidly consider fashions on high quality, price, and throughput, or filter by trade, inference duties like translation or textual content technology, or different key options to rapidly get a brief listing of fashions to contemplate. New instruments just like the Analysis API in Azure OpenAI Service give builders the flexibility to run automated comparisons between OpenAI fashions, quantify high quality enhancements, and speed up the iteration cycle. Along with the Saved Completions API, the Analysis API gives a programmatic resolution for refining and evaluating AI fashions with accuracy and management.
That’s necessary when you think about we introduced eight new Azure OpenAI Service fashions in a single week—the brand new GPT-4.1 mannequin sequence, three superior audio fashions, and the o3 and o4-mini reasoning fashions. You may fine-tune GPT-4.1 and GPT-4.1-mini to adapt them to your distinctive enterprise necessities. And final week we introduced GPT-image-1, the most recent and most superior picture technology mannequin, in addition to the most recent GPT-4o-realtime-preview and GPT-4o-mini-realtime-preview API updates together with WebRTC assist, semantic voice exercise detection and superior enter noise discount and extra.
Take a look at how Costar Group makes use of Azure OpenAI Service fashions to remodel their prospects’ expertise of discovering the best house.
That a lot newness in a single week would possibly appear to be an nervousness accelerator—particularly in case your workforce simply constructed an app utilizing an earlier mannequin—however Azure AI Foundry was designed for the progressive, iterative stream of AI improvement. It’s simple for groups to rapidly consider new mannequin professionals and cons, drop the mannequin within the playground for some hands-on testing, decide if it’s higher, sooner, cheaper, and so on., and deploy it if desired. Easy. And we intend to allow OpenAI fashions in Azure AI Foundry the identical day as OpenAI proclaims them. They’re backward-compatible and will be deployed with a single click on or by including a brand new mannequin with just a few easy traces of code.
Azure OpenAI accounts for 35 of the 1,917 fashions in our catalog, however will not be alone in introducing new fashions. Additionally new in our mannequin catalog this month:
The first fashions within the Meta Llama 4 herd arrived, together with Llama 4 Scout, which makes a speciality of condensing or analyzing in depth info, like analyzing all paperwork in an enterprise SharePoint library to reply a particular question, or studying a multi-thousand-page technical handbook to supply troubleshooting recommendation. And Llama 4 Maverick, which specializes in picture and textual content understanding with assist for 12 languages for exact picture understanding and artistic writing.
An unimaginable quantity of data sits in file cupboards around the globe, invisible to AI. Mistral OCR, a state-of-the-art Optical Character Recognition (OCR) mannequin, can learn and perceive the construction and nuance of onerous copy paperwork. It will possibly extract equations, photos, tables, and multilingual textual content from scanned contracts, handwritten types, analysis papers, regulatory filings, and extra at scale, making all that data accessible for AI to cause over and your workforce to study from and act on.
Optimized for the enterprise, Cohere’s Command A and Embed 4 fashions type a powerhouse for superior apps like extracting insights from 1000’s of monetary filings, earnings name transcripts, and market analysis.
Deep Search bought the world’s consideration with the discharge of its R1 mannequin earlier this 12 months. It’s a robust and succesful, low-cost mannequin with some security challenges requiring cautious administration. The Microsoft AI workforce developed its personal Deep Search R1 variant, MAI-DS-R1, that outperforms Deep Search R1 on responses to blocked subjects and lowering dangerous content material whereas sustaining the identical reasoning capabilities. You’ll find MAI-DS-R1 in Foundry as we speak.
Go to market sooner with Azure AI Companies
Azure AI Companies are environment friendly time-to-market accelerators that assist your builders construct clever apps without having direct AI or information science abilities. Take into account agent constructing. Till just lately, creating brokers was difficult and consumed a variety of developer time. With Azure AI Agent Service in Azure AI Foundry, what initially took tons of of traces of code can now be completed in just some traces of code. Azure AI Agent Service is utilized by tens of 1000’s of organizations to create and deploy brokers. Prospects like Fujitsu, who constructed an agent to assist prioritize gross sales leads, and NTT DATA, which constructed an agent that speeds proposal creation and surfaces consumer insights.
Azure AI Search is one other nice instance. This revolutionary retrieval system gives extremely related search outcomes at scale. It connects company data into AI functions to energy experiences like UBS’s Authorized AI Assistant (LAIA). This assistant helps their authorized workforce carry out analysis throughout a number of languages and 26 million paperwork to rapidly discover associated clauses to a case or provisions throughout funding funds.
We just lately introduced a number of enhancements enabling your workforce to improve to the latest retrieval and storage options with out disrupting service. These new options make Azure AI Search one of the cost-effective choices available on the market, delivering an enterprise-ready, full-featured retrieval system with superior search know-how with out sacrificing price or efficiency. The result’s empowering your app to ship high-quality experiences for each person and interplay with no compromises.
Coca‑Cola turned its iconic Santa right into a globe‑trotting conversationalist in simply 60 days due to an AI‑prepared basis on Azure. Utilizing Azure AI Speech in Azure AI Foundry, the workforce constructed an actual‑time mannequin that permit Santa chat with greater than one million folks in 26 languages, powering an immersive Create Actual Magic vacation marketing campaign throughout 43 markets. It’s a masterclass in how Azure unlocks lightning‑quick innovation at international scale.
Get there with Azure AI Foundry
Organizations constructed new muscle round resiliency and accelerating know-how adoption through the pandemic and that conditioning is paying off because the AI period shifts the world once more, reshaping what is feasible. Effectively navigating this fast-changing panorama is important in staying aggressive and constructing differentiation in a busy market. Our intent is for Azure AI Foundry to be your trusted information, simplifying complicated processes and empowering your workforce to attain extra. With the most recent developments and a strong platform, you’re outfitted to harness the total potential of AI, driving innovation and effectivity throughout your group. Keep forward of the curve with Azure AI Foundry—your GPS for the way forward for AI.
About Jessica
Jessica leads Azure Information, AI, and Digital Purposes at Microsoft. Discover Jessica’s weblog posts right here and you’ll want to observe Jessica on LinkedIn.
