Welcome to Microsoft Ignite 2023! The past twelvemonth has been 1 of existent transformation. Companies are seeing existent benefits contiguous and are anxious to research what’s next—including however they tin bash much with their information investments, physique intelligent applications, and uncover what AI tin bash for their business.
We precocious commissioned a survey done IDC and uncovered insights into however AI is driving concern results and economical interaction for organizations worldwide. More than 2,000 business leaders surveyed confirmed they’re already utilizing AI for worker experiences, lawsuit engagement, and to crook the curve connected innovation.
The survey illustrates the concern worth of AI but it truly comes to beingness done the stories of however our customers and partners are innovating today. Customers similar Heineken, Thread, Moveworks, the National Basketball Association (NBA), and truthful galore much are putting AI technologies to enactment for their businesses and their ain customers and employees.
From modern information solutions uniquely suited for the epoch of AI, beloved developer tools, and exertion services, we’re gathering Microsoft Azure arsenic the AI supercomputer for customers, nary substance the starting point.
Learn More Microsoft Ignite 2023
This week astatine Ignite, the gait of innovation isn’t slowing down. We’ll stock much stories astir however organizations are turning to caller solutions to thrust their concern forward. We’re besides announcing galore caller capabilities and updates to marque it easier than ever to usage your favourite tools, maximize existing investments, prevention time, and innovate connected Azure arsenic a trusted platform.
Modern information solutions to powerfulness AI transformation
Every intelligent app starts with data—and your AI is lone arsenic bully arsenic your data—so a modern information and analytics level is progressively important. The integration of information and AI services and solutions tin beryllium a unsocial competitory vantage due to the fact that each organization’s information is unique.
Last year, we introduced the Microsoft Intelligent Data Platform arsenic an integrated level to bring unneurotic operational databases, analytics, and governance and alteration you to integrate each your information assets seamlessly successful a mode that works for your business.
At Ignite this week, we are announcing the wide availability of Microsoft Fabric, our astir integrated information and AI solution yet, into the Intelligent Data Platform. Microsoft Fabric tin empower you successful ways that weren’t imaginable earlier with a unified information platform. This means you tin bring AI straight to your data, nary substance wherever it lives. This helps foster an AI-centered civilization to standard the powerfulness of your information worth instauration truthful you tin walk much clip innovating and little clip integrating.
EDP is simply a planetary vigor institution that aims to alteration the satellite done renewable vigor sources. They’re utilizing Microsoft Fabric and OneLake to simplify information entree crossed information storage, processing, visualization, and AI workflows. This allows them to afloat clasp a data-driven civilization wherever they person entree to high-value insights and decisions are made with a broad presumption of the information environment.
We’re besides announcing Fabric arsenic an unfastened and extensible platform. We volition showcase integrations with galore of our partners similar LSEG, Esri, Informatica, Teradata and SAS, who person been demonstrating the possibilities of bringing their merchandise experiences arsenic workloads into Fabric, widening their scope and breadth of capabilities.
Every enactment is anxious to prevention clip and wealth arsenic they transform. We’re announcing respective caller features and updates for Azure SQL that marque Azure the perfect and astir cost-effective spot for your data. Updates see little pricing for Azure SQL Database Hyperscale compute, Azure SQL Managed Instance escaped proceedings offer, and a question of different caller features.
Lufthansa Technik AG has been moving Azure SQL to enactment its exertion level and information estate, leveraging afloat managed capabilities to empower teams crossed functions. They’re joining connected signifier during a breakout league connected cloud-scale databases, truthful you tin larn much astir their acquisition directly.
Easily build, scale, and deploy multimodal generative AI experiences responsibly with Azure
The AI accidental for businesses is centered connected the unthinkable powerfulness of generative AI. We’re inspired by customers who are present nimbly infusing contented procreation capabilities to alteration each kinds of apps into intuitive, contextual experiences that impressment and captivate their ain customers and employees.
Siemens Digital Industries is 1 institution utilizing Azure AI to heighten its manufacturing processes by enabling seamless connection connected the store floor. Their newest solution helps tract engineers study issues successful their autochthonal language, promoting inclusivity, businesslike occupation resolution, and faster effect times.
Today organizations request much comprehensive, unified tools to physique for this adjacent question of generative AI-based applications. This is wherefore we’re announcing caller updates that propulsion the boundaries of AI innovation and marque it easier for customers to responsibly deploy AI astatine standard crossed their business.
Everything you request to build, test, and deploy AI innovations successful 1 convenient location
At Ignite, we’re thrilled to introduce the nationalist preview of Azure AI Studio, a groundbreaking level for AI developers by Microsoft. Everything organizations request to tackle generative AI is present successful 1 place: cutting-edge models, information integration for retrieval augmented procreation (RAG), intelligent hunt capabilities, full-lifecycle exemplary management, and contented safety.
We proceed to grow prime and flexibility successful generative AI models beyond Azure OpenAI Service. We announced the exemplary catalog astatine Build and astatine Ignite, we’re announcing Model arsenic a Service successful managed API endpoint coming soon wrong the exemplary catalog. This volition alteration pro developers to easy integrate caller instauration models similar Meta’s Llama 2, G42’s Jais, Command from Cohere and Mistral’s premium models into their applications arsenic an API endpoint and fine-tune models with customized grooming data, without having to negociate the underlying GPU infrastructure. This functionality volition assistance destruct the complexity for our customers and partners of provisioning resources and managing hosting.
Large connection models (LLM) orchestration and grounding RAG are apical of caput arsenic momentum for LLM-based AI applications grows. Prompt flow, an orchestration instrumentality to negociate punctual orchestration and LLMOps, is present successful preview successful Azure AI Studio and mostly available in Azure Machine Learning. Prompt travel provides a broad solution that simplifies the process of prototyping, experimenting, iterating, and deploying your AI applications.
We’re besides announcing astatine Ignite that Azure AI Search, formerly Azure Cognitive Search, is present disposable successful Azure AI Studio so everything remains successful 1 convenient determination for developers to prevention clip and boost productivity.
Azure AI Content Safety is besides disposable successful Azure AI Studio so developers tin easy measure exemplary responses each successful 1 unified improvement platform. We’re besides announcing the preview of caller features wrong Azure AI Studio powered by Azure AI Content Safety to code harms and information risks that are introduced by ample connection models. The caller features assistance place and forestall attempted unauthorized modifications, and identify erstwhile ample connection models make worldly that leverages third-party intellectual spot and content.
With Azure AI Content Safety, developers tin show quality and AI-generated contented across languages and modalities and streamline workflows with customizable severity levels and built-in blocklists.
It’s large to spot customers already leveraging this to physique their AI solutions. In conscionable six months, Perplexity brought Perplexity Ask, a conversational reply engine, to marketplace with Azure AI Studio. They were capable to streamline and expedite AI development, get to marketplace faster, standard rapidly to enactment millions of users, and cost-effectively deliver security and reliability.
If you’re creating a customized copilot, improving search, enhancing telephone centers, processing bots, oregon a blend of each of this, Azure AI Studio offers everything you need. You tin cheque retired Eric Boyd’s blog to larn much astir Azure AI Studio.
Generative AI is present multi-modal
We are excited to alteration a caller section successful the generative AI travel for our customers with GPT-4 Turbo with Vision, successful preview, coming soon to the Azure OpenAI Service and Azure AI Studio. With GPT-4 Turbo with Vision, developers tin present multi-modal capabilities successful their applications.
We are adding several caller updates to Azure AI Vision. GPT-4 Turbo with Vision successful operation with our Azure AI Vision work tin see, understand, and marque inferences similar video investigation oregon video Q&A from ocular inputs and associated text-based punctual instructions.
In summation to GPT-4 Turbo with Vision, we are blessed to stock other new innovations to Azure OpenAI Service including GPT-4 Turbo successful preview and GPT-3.5 Turbo 16K 1106 successful wide availability coming astatine the extremity of November and representation exemplary DALL-E 3 successful preview now.
Search successful the epoch of AI
Effective retrieval techniques, similar those powered by search, tin amended the prime of responses and effect latency. A communal signifier for cognition retrieval (retrieval measurement successful RAG), is to usage vector search. Search tin powerfulness effectual retrieval techniques to vastly amended the prime of responses and trim latency, which is indispensable for generative AI apps arsenic they indispensable beryllium grounded connected contented from data, oregon websites, to augment responses generated by LLMs.
Azure AI Search is simply a robust accusation retrieval and hunt level that enables organizations to usage their ain information to present hyper-personalized experiences successful generative AI applications. We’re announcing the wide availability of vector search for fast, highly applicable results from data.
Vector hunt is simply a method of searching for accusation wrong assorted information types, including images, audio, text, video, and more. It’s 1 of the astir captious elements of AI-powered, intelligent apps, and the summation of this capableness is our latest AI-ready functionality to travel to our Azure databases portfolio.
Semantic ranker, formerly known arsenic semantic search, is besides mostly disposable and provides entree to the aforesaid instrumentality learning-powered hunt re-ranking exertion utilized to powerfulness Bing. Your generative AI applications tin present the highest prime responses to each idiosyncratic Q&A with a feature-rich vector database integrated with state-of-the-art relevance technology.
Accelerate your AI travel responsibly and with confidence
At Microsoft, we’re committed to harmless and liable AI. It goes beyond ethical values and foundational principles, which are critically important. We’re integrating this into the products, services, and tools we merchandise truthful organizations tin physique connected a instauration of security, hazard management, and trust.
We are pleased to denote caller updates astatine Ignite to assistance customers prosecute AI responsibly and with confidence.
Setting the modular for liable AI innovation—expanding our Copilot Copyright Commitment
Microsoft has acceptable the modular with services and tools similar Azure AI Content Safety, the Responsible AI Dashboard, exemplary monitoring, and our industry-leading committedness to support and indemnify commercialized customers from lawsuits for copyright infringement.
Today, we are announcing the enlargement of the Copilot Copyright Commitment, present called Customer Copyright Commitment (CCC), to customers utilizing Azure OpenAI Service. As much customers physique with generative AI wrong their organizations, they are inspired by the imaginable of this exertion and are anxious to commercialize it externally.
By extending the CCC to Azure OpenAI Service, Microsoft is broadening our committedness to support our commercialized customers and wage for immoderate adverse judgments if they are sued for copyright infringement for utilizing the outputs generated by Azure OpenAI Service. This payment volition beryllium available starting December 1, 2023.
As portion of this expansion, we’ve published caller documentation to assistance Azure OpenAI Service customers instrumentality method measures and different champion practices to mitigate the hazard of infringing content. Customers volition request to comply with the documentation to instrumentality vantage of the benefit. Azure OpenAI Service is simply a developer work and comes with a shared committedness to physique responsibly. We look guardant to customers leveraging it arsenic they physique their ain copilots.
Announcing the Azure AI Advantage offer
We privation to beryllium your trusted spouse arsenic you present next-gen, transformative experiences with pioneering AI technology, a profoundly integrated platform, and starring unreality security.
Azure offers a full, integrated stack purpose-built for cloud-native, AI-powered applications, accelerating your clip to marketplace and giving you a competitory borderline and superior performance. To assistance connected that travel we are blessed to introduce a new connection to assistance caller and existing Azure AI and GitHub Copilot customers recognize the worth of Azure AI and Azure Cosmos DB unneurotic and get connected the accelerated way to processing AI powered applications. You tin learn more astir the Azure AI Advantage connection and register here.
Azure Cosmos DB and Azure AI combined present galore benefits, including enhanced reliability of generative AI applications done the velocity of Azure Cosmos DB, a world-class infrastructure and information level to turn your concern portion safeguarding your data, and provisioned throughput to standard seamlessly arsenic your exertion grows.
Azure AI services and GitHub Copilot customers deploying their AI apps to Azure Kubernetes Service whitethorn beryllium eligible for further discounts. Speak to your Microsoft typical to larn more.
Empowering each developers with AI powered tools
There is truthful overmuch successful store this week astatine Ignite to amended the developer experience, prevention time, and summation productivity arsenic they physique intelligent applications. Let’s dive into what’s new.
Updates for Azure Cosmos DB—the database for the epoch of AI
For developers to present apps much efficiently and with reduced accumulation costs, astatine Ignite we’re sharing caller features successful Azure Cosmos DB.
Now successful preview, dynamic scaling provides developers caller flexibility to standard databases up oregon down and brings outgo savings to customers, particularly those with operations astir the globe. We’re besides bringing AI deeper into the developer acquisition and expanding productivity with the preview of Microsoft Copilot for Azure enabling earthy connection queries successful Azure Cosmos DB.
Bond Brand Loyalty turned to Azure Cosmos DB to standard to much than 2 petabytes of transaction information portion maintaining information and privateness for their ain customers. On Azure, Bond built a modern offering to enactment extended information configurations, reducing onboarding clip for caller clients by 20 percent.
We’re announcing 2 breathtaking updates to alteration developers to physique intelligent apps: wide availability of some Azure Cosmos DB for MongoDB vCore and vector hunt successful Azure Cosmos DB for MongoDB vCore.
Azure Cosmos DB for MongoDB vCore allows developers to physique intelligent applications with afloat enactment for MongoDB information stored successful Azure Cosmos DB, which unlocks opportunities for app improvement acknowledgment to heavy integration with different Azure services. That means developers tin bask the benefits of autochthonal Azure integrations, debased full outgo of ownership (TCO), and a acquainted vCore architecture erstwhile migrating existing applications oregon gathering caller ones.
Vector hunt successful Azure Cosmos DB for MongoDB vCore allows developers to seamlessly integrate information stored successful Azure Cosmos DB into AI-powered applications, including those utilizing Azure OpenAI Service embeddings. Built-in vector hunt enables you to efficiently store, index, and query high-dimensional vector data, and eliminates the request to transportation the information extracurricular of your Azure Cosmos DB database.
PostgreSQL developers person utilized built-in vector hunt successful Azure Database for PostgreSQL and Azure Cosmos DB for PostgreSQL since this summer. Now, they tin instrumentality vantage of the public preview of Azure AI hold successful Azure Database for PostgreSQL to physique LLMs and affluent generative AI solutions.
KPMG Australia utilized the vector hunt capableness erstwhile they turned to Azure OpenAI Service and Azure Cosmos DB to physique their ain copilot application. The KymChat app has helped employees velocity up productivity and streamline operations. The solution is besides being made disposable to KPMG customers done an accelerator that combines KymChat’s usage cases, features, and lessons learned, helping customers accelerate their AI journey.
Building cloud-native and intelligent applications
Intelligent applications harvester the powerfulness of AI and cloud-scale information with cloud-native app improvement to make highly differentiated integer experiences. The synergy betwixt cloud-native technologies and AI is simply a tangible accidental for evolving accepted applications, making them intelligent, and delivering much worth to extremity users. We’re dedicated to continually enhancing Azure Kubernetes Service to conscionable these evolving demands of AI for customers who are conscionable getting started arsenic good arsenic those who are much advanced.
Customers tin present tally specialized instrumentality learning workloads similar LLMs connected Azure Kubernetes Service much cost-effectively and with little manual configuration. The Kubernetes AI toolchain Operator automates LLMs deployment connected AKS crossed disposable CPU and GPU resources by selecting optimally sized infrastructure for the model. It makes it imaginable to easy divided inferencing crossed aggregate lower-GPU-count virtural machines (VMs) frankincense expanding the fig of Azure regions wherever workloads tin run, eliminating hold times for higher GPU-count VMs, and lowering wide cost. Customers tin besides tally preset models from the unfastened root hosted connected AKS, importantly reducing costs and wide inference work setup clip portion eliminating the request for teams to beryllium experts connected disposable infrastructure.
Azure Kubernetes Fleet Manager is present mostly disposable and enables multi-cluster and at-scale scenarios for Azure Kubernetes Service clusters. Fleet manager provides a planetary standard for admins to negociate workload organisation crossed clusters and facilitate level and exertion updates truthful developers tin remainder assured they are moving connected the latest and astir unafraid software.
We’ve besides been sharing learnings astir however to assistance engineering organizations alteration their ain developers to get started and beryllium productive quickly, portion inactive ensuring systems are secure, compliant, and cost-controlled. Microsoft is providing a halfway acceptable of technology gathering blocks and learning modules to assistance organizations get started connected their travel to found a level engineering practice.
New Microsoft Dev Box capabilities to amended the developer experience
Maintaining a developer workstation that tin build, run, and debug your exertion is captious to keeping up with the gait of modern improvement teams. Microsoft Dev Box provides developers with secure, ready-to-code developer workstations for hybrid teams of immoderate size.
We’re introducing caller preview capabilities to give improvement teams much granular power implicit their images, the quality to link to Hosted Networks to simplify connecting to your resources securely, and templates to marque it easier to get up and running. Paired with new capabilities coming to Azure Deployment Environments, it’s easier than ever to deploy those projects to Azure.
Build upon a reliable and scalable instauration with .NET 8
.NET 8 is simply a large leap guardant towards making .NET 1 of the champion platforms to physique intelligent cloud-native applications, with the first preview of .NET Aspire – an opinionated unreality acceptable stack for gathering observable, accumulation ready, distributed unreality autochthonal applications. It includes curated components for cloud-native fundamentals including telemetry, resilience, configuration, and wellness checks. The stack makes it easier to discover, acquire, and configure indispensable dependencies for cloud-native applications connected time 1 and time 100.
.NET 8 is besides the fastest mentation of .NET ever, with developer productivity enhancements crossed the stack – whether you are gathering for cloud, a afloat stack web app, a desktop oregon mobile app suing .NET MAUI, oregon integrating AI to physique the adjacent copilot for your app. These are available successful Visual Studio, which besides releases today.
Azure Functions and Azure App Service person afloat enactment for .NET 8 some successful Linux and Windows, and some Azure Kubernetes Service and Azure Container Apps besides enactment .NET 8 today.
There are nary limits to your innovation imaginable with Azure
There’s truthful overmuch rolling retired this week with data, AI, and integer applications truthful I anticipation you’ll tune into the virtual Ignite experience and perceive astir the afloat slate of announcements and much astir however you tin enactment Azure to enactment for your business.
This week’s announcements are impervious of our committedness to helping customers instrumentality that adjacent measurement of innovation and enactment future-ready. I can’t hold to spot however your creativity and caller innovations unfold for your business.
You tin cheque retired these resources to larn much astir everything shared today. We anticipation you person a large Ignite week!
- Attend these sessions to larn much astir however Azure tin assistance you, nary substance the starting point:
- Keynote league with Scott Guthrie and friends: AI translation for your enactment with the Microsoft Cloud
- Make your information AI acceptable with Microsoft Fabric and Azure Databricks
- Build ISV apps with Microsoft Fabric successful the Intelligent Data Platform
- AI and Kubernetes: A winning operation for Modern App Development
- Build your ain Copilot with Azure AI Studio
- What’s caller successful generative AI?
- Vector hunt and authorities of the creation retrieval for Generative AI apps
- Master Platform Engineering: Architecting Scalable and Resilient Systems
- Explore each the Microsoft Azure announcements successful the Book of News.
- Learn however Microsoft Azure delivers purpose-built unreality infrastructure successful the epoch of AI
- Explore Microsoft’s Responsible AI playbook to larn much astir our approach, what we learned, and however it tin use to your business.
- Learn much astir Azure Migrate and Modernize and Azure Innovate and however they tin assistance you from migration to AI innovation.
- Get acceptable for what’s adjacent by visiting the AI Learning and Community Hub connected Microsoft Learn with AI skilling opportunities connected Microsoft Learn.
The station Microsoft Azure AI, data, and exertion innovations assistance crook your AI ambitions into reality appeared archetypal connected Microsoft Azure Blog.