In this blog, we’ll lay out the latest and greatest of our curated Fabric skilling paths on Microsoft Learn to help your team drive transformative business outcomes. We’re also announcing a new certification exam available with a 50% discount! And of course, we’ll dive into our exciting upcoming in-person event, FabCon, where we’ll have even more surprises in store, plus a chance for you to connect with industry experts and the larger data-analysis community. Let’s get started!

Get certified as a Fabric Data Engineer

Learning Microsoft Fabric equips aspiring engineers with skills to streamline workflows, handle large-scale data processing, and integrate advanced AI tools. As a Fabric Data Engineer, you’ll have the chance to design and manage cutting-edge data solutions that move AI-powered insights. That’s why we’re thrilled to announce the general availability of our new certification for Fabric Data Engineers. 

By earning your Microsoft Certified: Fabric Data Engineer Associate certification, you’ll be equipped with an industry-recognized credential to set you apart in the growing field of data and AI. But you don’t have to do it alone. We’ve convened two live and on-demand series of expert-led walkthroughs to help you either get started with Fabric or build on your existing skills. Designed with Fabric Data Engineers in mind, these Microsoft Fabric Learn Together sessions (available in four time zones and three languages) are intended to give you the knowledge and confidence to ace your certification exam and take your data engineering career to the next level.

Want to explore the ins and outs of Fabric on your own time? We also have an official plan on Microsoft Learn featuring everything you’ll need to learn to pass the DP-700 Fabric Data Engineer Associate certification exam, including: 

• Describe the core features and capabilities of lakehouses in Microsoft Fabric.

• Use Apache Spark DataFrames to analyze and transform data.

• Use Real-Time Intelligence to ingest, query, and process streams of data.

• And much more! 

There’s more: For a limited time, you can get 50% off the cost of the DP-700 Fabric Data Engineer Associate certification exam. To be eligible, either attend one of the Learn Together sessions, complete the Plan on Microsoft Learn, or have previously passed the DP-203 exam. You have until March 31, 2025, to request the discount voucher, so get started fast-tracking your data engineering career today!

Join a community of Fabric users and experts at FabCon Las Vegas 

No matter your role or skill level, you can connect with other Fabric users and experts at the Fabric Community Conference from March 31-April 2, 2025, in Las Vegas. Join us at the MGM Grand for the ultimate Microsoft Fabric, Power BI, SQL, and AI event featuring over 200 sessions with speakers covering exciting new Fabric features and skilling opportunities. 

Connect one-on-one with community and product experts, including a dedicated partner pre-day, all-day Ask-the-Experts hours, a bustling expo hall, and plenty of after-hours social events. Workshops will also be available on March 29th, 30th, and April 3rd, making this the most comprehensive Microsoft Fabric learning experience to date. 

Don’t miss out! Register today to grab the early bird discount and use code MSCUST for $150 off registration. 

Build AI apps faster with SQL databases in Fabric 

Fabric’s capabilities and versatility are always expanding. We recently introduced a public preview of SQL databases to make building AI apps faster and easier than ever. SQL Database in Microsoft Fabric provides a unified, autonomous, and AI-optimized platform that accelerates app development by up to 71%, empowering businesses to innovate faster and gain a competitive edge in the AI era. 

To enhance your skills in working with SQL databases in Fabric, we’ve designed a new learning path called Implement operational databases in Microsoft Fabric. This course will guide you through the process of creating and managing SQL databases within the Fabric environment. You’ll also learn how to provision an SQL database, configure security settings, and perform essential database operations.

The course covers important topics such as data modeling, query optimization, and performance tuning specific to Fabric’s SQL capabilities. By completing this learning path, you’ll gain hands-on experience with Fabric’s SQL features and be better equipped to design and implement efficient database solutions.

You can also watch on-demand sessions of a recent SQL Database in Fabric Learn Together series to see how to build reliable, highly scalable applications where cloud authentication and encryption are secured by default. 

Unlock AI-ready insights and transform your data 

There’s always more to discover on Microsoft Learn, including a plan to help you harness AI and unify your intelligent data and analytics on the Fabric platform. With the Make your data AI-ready with Microsoft Fabric plan on Microsoft Learn, you’ll find out how to implement large-scale data engineering, build a lakehouse, and explore warehouse solutions.

This free, curated, and self-paced plan guides you through key learning milestones:

• Ingesting data through shortcuts, mirroring, pipelines, and dataflows. 

• Transforming data using dataflows, procedures, and notebooks. 

• Storing processed data in the lakehouse and data warehouse for easy retrieval. 

• Exposing data by creating reusable semantic models in Power BI, making transformed data accessible for analysis. 

Kick off your data and AI journey at Microsoft Learn 

If you’re looking to expand your Microsoft Fabric expertise and accelerate your professional development, we have everything you need:

• Get started on the path to becoming a Fabric Data Engineer Associate with our official plan on Microsoft Learn: Get Certified! Become a Fabric Data Engineer.

• Attend one of the Microsoft Fabric Learn Together sessions.

• Request a 50% discount voucher for the DP-700 Fabric Data Engineer Associate certification exam.

• Connect with Fabric experts at the Fabric Community Conference from March 31-April 2, 2025, in Las Vegas.

• Enhance your skills in working with SQL databases in Fabric with the Implement operational databases in Microsoft Fabric learning path.

• Harness AI to unify your data and analytics with the official plan on Microsoft Learn: Make your data AI-ready with Microsoft Fabric.

Fabric Community Conference

Bigger and better than ever

Sign up today

The post Power your AI transformation with Microsoft Fabric skilling plans and a certification discount appeared first on Microsoft AI Blogs.

1. Copilot is your UI for AI, with Copilot Studio enabling low-code creation of agents and extensibility to your data.
2. Azure AI Foundry is the only AI app server for building real-world, world-class, AI-native applications.
3. Microsoft Fabric is the AI data platform that provides one common way to reason over your data —no matter where it lives.

All three of these platforms are open and work synchronously to enable the development of modern AI solutions; and each is surrounded by our world-class security offerings so leaders can move their AI-first strategies forward with confidence.

As we look ahead to what we can achieve together, I remain inspired by the work we are doing today. Below are a handful of the many stories from the past quarter highlighting the differentiated AI solutions our customers and partners are driving to move business forward across industries and realize pragmatic value. Their success clearly illustrates that real results can be harnessed from AI today, and it is changing the way organizations do business.

To power its industrial IoT and AI platform, ABB Group leveraged Microsoft Azure OpenAI Service to create Genix Copilot: a generative AI-powered analytics suite aimed at solving some of the most complex industrial problems. The solution helps customers analyze key functions in their operations —such as asset and process performance, energy optimization and emission monitoring — with real-time operational insights. As a result, customers are seeing up to 35% savings in operations and maintenance, and up to 20% improvement in energy and emission optimization. ABB also saw an 80% decrease in service calls with the self-service capabilities of Genix Copilot.

Serving government healthcare agencies across the US, Acentra Health turned to Microsoft to help introduce the latest AI capabilities that maximize talent and cut costs in a secure, HIPAA-compliant manner. Using Azure OpenAI Service, the company developed MedScribe — an AI-powered tool reducing the time specially trained nursing staff spend on appeal determination letters. This innovation saved 11,000 nursing hours and nearly $800,000, reducing time spent on each appeal determination letter by about 50%. MedScribe also significantly enhanced operational efficiency, enabling nurses to process 20 to 30 letters daily with a 99% approval rate.

To ease challenges for small farmers, Romanian agribusiness group Agricover revolutionized access to credit by developing MyAgricover. Built with help from partner Avaelgo, the scalable digital platform utilizes Microsoft Azure, Azure API Management and Microsoft Fabric to automate the loan process and enable faster approvals and disbursements. This has empowered small farmers to grow their businesses and receive faster access to financing by reducing loan approval time by 90 percent — from 10 working days to a maximum of 24 hours.

Building on its status as a world-class airline with a strong Indian identity, Air India sought ways to enhance customer support while managing costs. By developing AI.g, one of the industry’s first generative AI virtual assistants built on Azure OpenAI Service, the airline upgraded the customer experience. Today, 97% of customer queries are handled with full automation, resulting in millions of dollars of support costs saved and improved customer satisfaction — further positioning the airline for continued growth.

BMW Group aimed to enhance data delivery efficiency and improve vehicle development and prototyping cycles by implementing a Mobile Data Recorder (MDR) solution with Azure App Service, Azure AI and Azure Kubernetes Service (AKS). The solution achieved 10 times more efficient data delivery, significantly improved data accessibility and elevated overall development quality. The MDR monitors and records more than 10,000 signals twice per second in every vehicle of BMW’s fleet of 3,500 development cars and transmits data within seconds to a centralized cloud back end. Using Azure AI Foundry and Azure OpenAI Service, BMW Group created an MDR copilot fueled by GPT-4o. Engineers can now chat with the interface using natural language, and the MDR copilot converts the conversations into KQL queries, simplifying access to technical insights. Moving from on-premises tools to a cloud-based system with faster data management also helps engineers troubleshoot in real time. The vehicle data covered by the system has doubled, and data delivery and analysis happen 10 times faster.

Coles Group modernized its logistics and administrative applications using Microsoft Azure Stack HCI to scale its edge AI capabilities and improve efficiency and customer experience across its 1,800 stores. By expanding its Azure Stack HCI footprint from two stores to over 500, Coles achieved a six-fold increase in the pace of application deployment, significantly enhancing operational efficiency and enabling rapid innovation without disrupting workloads. The retailer is also using Azure Machine Learning to train and develop edge AI models, speeding up data annotation time for training models by 50%.

Multinational advertising and media company Dentsu wanted to speed time to insights for its team of data scientists and media analysts to support its media planning and budget optimization. Using Microsoft Azure AI Foundry and Azure OpenAI Service, Dentsu developers built a predictive analytics copilot that uses conversational chat and draws on deep expertise in media forecasting, budgeting and optimization. This AI-driven tool has reduced time to media insights for employees and clients by 90% and cut analysis costs.

To overcome the limitations of its current systems, scale operations and automate processes across millions of workflows, Docusign created the Intelligent Agreement Management (IAM) platform on Azure. Using Azure AI, Azure Cosmos DB, Azure Logic Apps and AKS, the platform transforms agreement data into actionable insights to enhance productivity and accelerate contract review cycles. IAM also ensures better collaboration and unification across business systems to provide secure solutions tailored to diverse customer needs. For example, its customer KPC Private funds reported a 70% reduction in time and resources dedicated to agreement processes.

Emirates Global Aluminium (EGA) transformed its manufacturing operations by leveraging a hybrid environment with Azure Arc, Azure Stack HCI and Azure Kubernetes Service. This digital manufacturing platform resulted in 86% cost savings for AI image and video analytics and a 13-fold improvement in AI response times. The seamless hybrid cloud architecture has enhanced EGA’s operational efficiency and agility, supporting its Industry 4.0 transformation strategy.

EY collaborated with Microsoft to enhance the inclusivity of AI development using Azure AI Foundry. By involving neurodivergent technologists from EY’s Neuro-Diverse Centers of Excellence, they improved the accessibility and productivity of AI tools, resulting in more inclusive AI solutions, fostering innovation and ensuring that AI tools unlock the potential of all users. With an estimated 20% of the global workforce identifying as neurodivergent, inclusive AI solutions are crucial for maximizing creativity and productivity. Neurodivergent EY technologists also collaborated with Microsoft developers to make Azure AI Foundry more inclusive and help all users work productively to create innovative AI solutions.

Colombian household appliance manufacturer Haceb integrated AI to optimize processes, reduce costs and improve service quality. Using Microsoft Copilot Studio and Azure OpenAI Service, the company created a virtual technical support assistant, saving its 245 technicians 5 minutes per visit — a total of 5,000 minutes saved daily. This AI solution has enhanced efficiency and boosted customer satisfaction by allowing for faster issue resolution. Haceb’s AI adoption has also empowered employees, boosted productivity and positioned the company as a leader in AI innovation in Colombia.

To better serve its global patients, Operation Smile — in collaboration with partner Squadra — leveraged Azure AI, Machine Learning and Microsoft Fabric to develop an AI-powered solution to predict surgical outcomes and optimize resource allocation. This innovation resulted in a 30% increase in surgical efficiency, a 90% reduction in translation errors and improved patient outcomes. Additionally, report generation is now up to 95% quicker, and repeated medical events have decreased by 15%, enabling Operation Smile to provide better care to more children worldwide.

Ontada — a McKesson business dedicated to oncology data and evidence, clinical education and point-of-care technologies — needed a way to generate key insights across 150 million unstructured oncology documents. Using Microsoft Azure AI and Azure OpenAI Service, Ontada developed a data platform solution called ON.Genuity to provide AI-driven insights into the patient journey, enhance patient trial matching and identify care gaps. The company also implemented large language models to target nearly 100 critical oncology data elements across 39 cancer types, enabling the company to analyze an estimated 70% of previously inaccessible data, reduce processing time by 75% and accelerate product time-to-market from months to just one week.

As the UK’s largest pet care company, Pets at Home sought a way to combat fraud across its retail operations — particularly as its online business continued to grow. Working closely with its fraud team, it adopted Copilot Studio to develop an AI agent that quickly identifies suspicious transactions. The agent autonomously gathers relevant information, performs analysis and shares it with a fraud agent to enable a manual, data-intensive investigative process while ensuring a human remains in the loop. With this low-code agent extending and seamlessly integrating into existing systems, the company’s fraud department can act more quickly; what used to take 20 to 30 minutes is now handled by the AI agent within seconds. The company is identifying fraud 10 times faster and is processing 20 times more cases a day. Now, the company can operate at scale with speed, efficiency and accuracy — with savings expected to be in the seven figures as it continues to build more agents.

Revenue Grid, a technology company specializing in sales engagement and revenue optimization solutions, partnered with Cloud Services to modernize its data infrastructure and develop a unified data warehouse capable of handling unstructured, semi-structured and structured data. By migrating to Microsoft Fabric, Revenue Grid can now deliver data-powered revenue intelligence, driven by a unified platform, elastic scalability, enhanced analytics capabilities and streamlined operations. Revenue Grid has reduced infrastructure costs by 60% while enhancing its analytical capabilities to improve real-time data processing, empowering sales teams with accurate and diverse data. 

To better manage and integrate employee data across diverse regions and systems, UST built a comprehensive Employee Data platform on Microsoft Fabric. In under a year, UST migrated 20 years of employee data with all security measures to enhance data accessibility and employee productivity. The Meta Data Driven Integration (MDDI) framework in Fabric also helped the company cut data ingestion time by 50% so employees can focus more on analysis than preparation. As a result of this implementation, the company has seen an increase in collaboration and innovation from employees, helping put its values into action.

The Microsoft Commercial Marketplace offers millions of customers worldwide a convenient place to find, try and buy software and services across 140 countries. As a Marketplace partner, WeTransact is helping independent software vendors (ISVs) list and transact their software solutions — and find opportunities for co-selling and extending their reach to enterprise customers through development of the WeTransact platform. Powered by Azure OpenAI Service, the platform is changing the way partnerships are being built by using AI pairing to facilitate a “plug and play” reseller network. More than 300 ISVs worldwide have joined the Microsoft Commercial Marketplace using the WeTransact platform, cutting their time to publish by 75%.

The opportunity for AI to create value is no longer an ambition for the future — it is happening now, and organizational leaders across industries are investing in AI-first strategies to change the way they do business. We believe AI should empower human achievement and enrich the lives of employees; and we are uniquely differentiated to help you accelerate your AI Transformation responsibly and securely. Choosing the right technology provider comes down to trust, and I look forward to what we will achieve together as we partner with you on your AI journey.

The post The value of AI: How Microsoft’s customers and partners are creating differentiated AI solutions to reinvent how they do business today appeared first on Microsoft AI Blogs.

A Leader in Data Integration 

We feel that Microsoft’s acknowledgment in the Gartner Magic Quadrant reflects our dedication to innovation and customer-centric solutions. This stems from our relentless drive to advance technology and address the ever-evolving needs of modern organizations.

Our vision for data integration is to deliver seamless, intuitive experiences that empower businesses to unlock the full potential of their data and achieve transformative results. This recognition reinforces our dedication to leading the evolution of data integration and delivering unparalleled value to our customers and partners worldwide.

Microsoft Fabric

Give your teams the AI-powered tools they need for any data project—including workloads tailored to your industry

Try today

Microsoft Fabric: Unified Data Platform for the Era of AI 

At the core of our data integration strategy is Microsoft Fabric. Built to navigate the complexities of modern data ecosystems, Microsoft Fabric provides an all-in-one, software-as-a-service (SaaS) platform with AI-powered services to handle any data project—all within a pre-integrated and optimized environment. It enables organizations to unlock their data’s full potential, drive innovation, and make smarter decisions. Features like Copilot and other generative AI tools introduce new ways to transform and analyze data, generate insights, and create visualizations and reports in Microsoft Fabric.

Microsoft OneLake: The heart of our Data Integration journey 

At the center of our Fabric is OneLake, the unified, open data lake that simplifies and accelerates data integration across diverse systems. OneLake, with the data integration capabilities of Fabric, is designed to help you simplify data management and reduce data duplication. OneLake’s open data format means you only need to load the data into the lake once and you can use the single copy across every Fabric workload and engine. It acts as the central hub, ensuring seamless connectivity, accessibility, and collaboration for all your data needs. 

OneLake has four innovative pathways for integrating data depending on your needs: 

1. Fabric Data Factory 

Fabric Data Factory integrates seamlessly with OneLake, offering powerful cloud-scale services for data movement, orchestration, transformation, deployment, and monitoring. These capabilities enable organizations to tackle even the most complex ETL (Extract, Transform, and Load) scenarios, unifying data estates, streamlining operations, and unlocking the full potential of their data.

2. Multi-Cloud Shortcuts

OneLake shortcuts allow you to virtualize data into OneLake from across clouds, accounts, and domains—all without duplication, movement, or changes to metadata or ownership. This capability allows organizations to access and analyze their data in place, without the need for complex data migration processes. By maintaining a live connection to the source, OneLake ensures real-time data availability and consistency across all integrated environments. You can shortcut data from Azure Data Lake Service, S3-compatible sources, Iceberg-compatible sources, Google Cloud Platform, Dataverse, and more.

3. Database Mirroring 

OneLake offers an innovative zero-ETL approach to database mirroring, simplifying the replication of operational databases into the lake. This capability minimizes the effort required to synchronize databases, supporting real-time changes and ensuring that data is always current and ready for analytics and reporting.

4. Real-Time Intelligence 

Real-time intelligence in Microsoft Fabric empowers organizations to ingest and process streaming and high granularity data instantaneously, driving real-time insights and automating decision-making. This solution is ideal for applications requiring immediate data updates, such as IoT analytics, fraud detection, and operational dashboards. The capability extends to highly granular data analytics, allowing businesses to track a single package within a global delivery network or monitor a specific component in a manufacturing machine across a fleet of factories worldwide, enabling precise insights and optimized operations. Leveraging cutting-edge data processing frameworks, Eventhouse ensures scalability, reliability, and low-latency performance, making it suitable for high-volume streaming scenarios.

With these innovative pathways, Fabric empowers organizations to break down data silos, optimize workflows, and unlock the full potential of their data. Whether it’s through seamless data integration, real-time insights, or multi-cloud collaboration, Fabric is designed to meet the demands of modern data ecosystems. These enriched features position Fabric as a critical tool for organizations aiming to unlock the full potential of their data while maintaining simplicity, security, and scalability.

Customer success stories 

Our customers’ success stories are a testament to the impact of Microsoft Fabric. Organizations across various industries have leveraged our data integration capabilities to unlock new opportunities, drive innovation, and achieve their business goals. By streamlining data processes and improving data quality, Microsoft Fabric has enabled these businesses to make data-driven decisions with confidence. 

Read UST Global’s case study to learn how they leveraged the power of Fabric to migrate over 20 years of data, integrating disparate data sources to facilitate better collaboration and innovation among employees. 

Looking ahead: The future of Data Integration with Microsoft Fabric 

As we celebrate being recognized as a Leader in the Gartner Magic Quadrant for the fourth consecutive year in a row, we are motivated to push the boundaries of what’s possible in data integration. To us, this is a milestone that reflects not only our commitment to innovation but also our dedication to empowering our customers to turn their data into actionable insights.

Looking forward, the roadmap for Microsoft Fabric is filled with exciting enhancements and new features. These advancements are designed to tackle the complexities of modern data ecosystems, making it even easier for organizations to unify, transform, and harness their data at scale. Continuous improvement is at the core of our strategy. We aim to remain at the forefront of the data integration landscape and redefine the possibilities of what a comprehensive data platform can achieve. 

We believe this recognition by Gartner is a validation of the trust our customers place in us and a reflection of our relentless drive to deliver world-class solutions. As we continue this journey, we remain committed to collaborating with our community and partners, building on this success to achieve even greater outcomes together.

Resources 

• Read the full complimentary report from Gartner. 
• Data Factory in Microsoft Fabric  
• Data Factory Overview 
• Real Time Intelligence 
• Transforming Your Business With Real-Time Intelligence 
• Getting Started with Microsoft Fabric  
• What’s new and planned for Data Factory in Microsoft Fabric  
• FAQ 

Gartner, Magic Quadrant for Data Integration Tools, By Thornton Craig, Sharat Menon, Robert Thanaraj, Michele Launi, Nina Showell, 3 December 2024 

Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved. 

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. Available here.

The post Microsoft: A leader in the 2024 Gartner Magic Quadrant report appeared first on Microsoft AI Blogs.

With Fabric, we focused on simplicity, openness, and autonomy. All Fabric workloads work together seamlessly out-of-the-box without the myriad of infrastructure and configuration settings you typically find in data platforms so you can focus on getting results. You can ingest structured and unstructured data in any format into OneLake’s open Delta Parquet format and even access third-party tools from industry leading software companies built directly into Fabric. Advanced security, governance, and continuous integration and continuous delivery (CI/CD) capabilities are woven into the platform with personalized experiences for admins and users alike. Microsoft Copilot and other AI capabilities are built into every layer of Fabric to help data professionals and business users automate routine tasks and get more done. In fact, we’ve found that users were 52% faster in completing standard data analysis tasks and uncovered insights 36% more accurately when using Copilot in Fabric, with 90% saying they were likely to adopt Copilot in Fabric.¹  

Fabric’s vision for a data platform has highly resonated with the industry, and more than 17,000 customers, including 70% of the Fortune 500, are already using Fabric to empower their data teams.

• Melbourne Airport, the second busiest in Australia, used Fabric to analyze their operational data in real-time and gained 30% increased performance efficiency across data-related operations. “It’s a radical and powerful new technology that can feel just like using Microsoft Excel or Power BI. But once in the hands of the user, it doesn’t feel like a new, complex technology at all,” Irfan Khan, Head of Data and Analytics.  
• Chanel, a world leader in luxury fashion, adopted Fabric not only to drive more value from its data and support their AI innovation, but also safeguard its data at rest and in-transit with Fabric’s end-to-end, built-in security, governance, and reliability. “We chose Microsoft Fabric as the foundation of this platform, driven by its ability to implement a data mesh approach,” Olivier Barbonnat, Chief Information Officer Europe.  
• Our own Microsoft IDEAS (insights, data, engineering, analytics, systems) team, one of the largest data teams in the world, transitioned to Fabric to support its AI ambitions. Its solution now encompasses 27,000 data sources, 420 petabytes of data, 35,000 data pipelines, 38,000 semantic models, and more than 600 teams relying on its models. The IDEAS team estimated it has received a 50% efficiency boost from consolidating assets in OneLake, using modern tools such as Spark and Python, Direct Lake mode in Microsoft Power BI, and AI-assisted coding through IDEAS Copilot.

Schaeffler, Hitachi Solutions, KPMG, Epic, and many other customers have seen a transformational impact to how they process data. You can explore all these Fabric stories on the Microsoft Customer Stories page. One of the reasons Fabric caught the imagination of so many is because, with Fabric, you can simplify and future-proof your data estate. Fabric’s capabilities and workloads will continue to expand and be seamlessly infused into our pre-integrated platform, helping you keep up with the technology trends without added work.  

And since launching Fabric, we’ve added new ways to bring data into Fabric with capabilities like mirroring and new shortcut sources. We’ve expanded Copilot in Fabric across almost every experience to help everyone automate routine tasks. We’ve added a multitude of security and governance features to help you make sure your data is secure at every step of its journey. We’ve added the ability to extend Fabric further with native, industry-specific workloads from Microsoft and other software developers. And most impactfully, we launched a new workload to help organizations make better decisions from Internet of Things (IoT), logs, and telemetry data—Real-Time Intelligence.  

With Fabric Real-Time Intelligence, we transformed Fabric into a platform equipped to support your operational scenarios and data in motion. And now, we’re helping you bring transactional scenarios to Fabric with the introduction of Fabric Databases. 

Introducing a unified data platform with Fabric Databases

Currently, the data and AI technology market is massively fragmented with hundreds of vendors and thousands of services. We believe the future of data and AI is the convergence of all your data services into a unified, open, and extensible platform, so you no longer have to manually stitch together disconnected services.  

Today, we’re thrilled to announce a major leap toward this goal with Fabric Databases, now in preview. Fabric Databases represent a new class of cloud databases that brings a world-class transactional database natively to Microsoft Fabric for app developers. With the addition of Fabric Databases, Fabric now brings together both transactional and analytical workloads, creating a truly unified data platform. Developers can streamline application development with simple, autonomous, and AI-optimized databases that provision in seconds and are secured by default with features like cloud authentication and database encryption. Built-in vector search, retrieval augmented generation (RAG) support, and Azure AI integration simplify AI app development, and your data is instantly available in OneLake for advanced analytics. Developers can even use Copilot in Fabric to translate natural language queries into SQL and get inline code completion alongside code fixes and explanations.

SQL database, the first available in Fabric, was built on our industry-leading SQL Server engine and the simple and intuitive SaaS platform of Fabric. In fact, data professionals who’ve tried SQL database in Fabric were able to complete common database tasks up to 71% faster and with 63% more effective task completion. They reported feeling 84% more confident in these tasks and finding the tasks up to 91% less difficult.²  These results were even more pronounced for people who were newer to cloud. Those with less than two years of cloud platform experience benefited the most in terms of efficiency and effectiveness, highlighting the simplicity and intuitiveness of Fabric Databases. 

SQL database is just the beginning for Fabric Databases, with more databases on the roadmap. Whether you’re an experienced data professional or just getting started, you can build AI apps faster and more confidently on Fabric Databases.

To learn more, read the Fabric Databases blog post, watch the Microsoft Mechanics deep dive video, and watch the following sizzle video:

General availability of Fabric Real-Time Intelligence

We’re also thrilled to announce Real-Time Intelligence is now generally available. With Real-Time Intelligence, you get both pro-dev and no-code tools to ingest high-volume streaming data with high granularity, dynamically transform streaming data, query data in real-time for instant insights, and trigger automated actions based on the data. The Real-time hub provides a central place to discover and manage all your streaming data. Dener Motorsport, a participant in the annual Porsche Carrera Cup Brasil event, used Real-Time Intelligence for in-race analytics, and their CEO, Dener Pires, said “Before we used Microsoft Fabric and Real-Time Intelligence, it was probably 30 minutes before the engineers knew that something was wrong with a car, could get the data, analyze it, and provide a solution. Today that process is done in minutes.” Check out this blog post and the following demo to see Real-Time Intelligence in action: 

OneLake catalog—a complete catalog for discovery, management, and governance

No matter what data project you’re trying to accomplish, it starts with the right foundation. OneLake, Fabric’s unified, multi-cloud data lake, is built for everyone in your entire organization as the single point to discover and explore your data. With OneLake shortcuts and mirroring, you can unify all of your multi-cloud and on-premise sources and enable your people to work from the same data—meaning fewer copies of data, better collaboration between your teams, and easier, more streamlined analysis. And since data is stored in an open format, you can use data in OneLake for all your data projects, no matter the vendor or service.  

Today, we’re excited to announce the OneLake catalog, a complete solution to explore, manage, and govern your entire Fabric data estate. The OneLake catalog comes with two tabs, Explore and Govern, that can help all Fabric users discover and manage trusted data, as well as provide governance for data owners with valuable insights, recommended actions, and tooling. Since the OneLake catalog is an evolution of the OneLake data hub, it already shows up in Microsoft 365, such as in Excel and Microsoft Teams and many other products in the Microsoft cloud for easy data consumption. OneLake catalog value can be extended to the Microsoft Purview data governance solution, Unified Catalog, which offers the data office, data stewards, and data owners advanced governance capabilities, including data quality and a global catalog for the heterogeneous data estate. The Explore tab is now generally available, and the Govern tab will be coming soon in preview.  

Learn more about the OneLake catalog by reading this blog post and by watching the following demo:

More Fabric innovation

The introduction of Fabric Databases and the growing opportunity with generative AI in accelerating data projects has encouraged us to reimagine the pillars of Fabric. We are now focused on making sure Fabric can provide you with: 

• An AI-powered data platform. Fabric can give your teams the AI-powered tools needed for any data project in a pre-integrated and optimized SaaS environment. You can even extend Fabric further by adding other native workloads from the Workload Hub, created by industry-leading partners.  
• An open and AI-ready data lake. Fabric can help you access your entire multi-cloud data estate from a single data lake, work from the same copy of data across analytics engines, and ensure your data is ready to power AI innovation.  
• AI-enabled business users. Fabric can empower everyone to better understand your data with AI-enhanced Q&A experiences and visuals embedded in the Microsoft 365 apps they use every day. 
• A mission-critical foundation. You can confidently deploy and manage Fabric with category-leading performance, instant scalability, shared resilience, and built-in security, governance, and compliance. 

Check out the new Fabric sizzle video to see these pillars in action: 

We’re excited to share a huge slate of announcements designed to help us better accomplish each goal above. These enhancements include: 

Fabric workload enhancements

• The general availability of sustainability data solutions in Microsoft Fabric, a single place for all your environmental, social, and governance (ESG) data needs. Julie Nikulina, IT Solutions Engineer at Schaeffler AG, a global automotive and industrial supplier, mentioned that, “thanks to Microsoft Fabric, we’ll be able to answer lots of questions about climate neutrality and decarbonization company-wide via a single platform—and we can implement new use cases in short sprints within two to six weeks.”  
• Coming soon, the preview of AI functions in Fabric notebooks, which provide a simplified API for common AI text enrichments like summarization, translation, sentiment analysis, and more. 
• The general availability of API for GraphQL, which is an API to help you access data from multiple sources in Fabric with a single query API. 
• The preview of several enhancements to Fabric Real-Time Intelligence, which include new Fabric events, enhancements to Eventstreams and Eventhouses, and easier real-time dashboard sharing. 
• The preview of the Copilot in Fabric experience for data pipelines in Fabric Data Factory. 
• The preview of our integration with Esri ArcGIS for advanced spatial analytics. 

Microsoft OneLake enhancements

• The preview of open mirroring, a feature that allows any application or data provider to write change data directly into a mirrored database within Fabric. 
• The general availability of Azure SQL DB mirroring and the preview of SQL MI mirroring. 

New AI capabilities in Fabric

• Coming soon, the preview of AI skill enhancements, including a more conversational experience and support for semantic models and Eventhouse KQL databases. 
• Coming soon, the preview of AI skill integration with Agent Service in the newly announced Azure AI Foundry, allowing developers to use AI skills as a core knowledge source. 

Platform-wide enhancements

• The preview of workspace monitoring, which provides detailed diagnostic logs for workspaces to troubleshoot performance issues, capacity performance, and data downtime. 
• The general availability of the Workload Development Kit, created to help software developers design, build, and interoperate applications within Fabric. We’re excited to see many of our industry-leading partners announce preview of their workload hub offerings, including Quantexa, SAS, Teradata, Osmos, Esri, and Profisee. 
• The preview of further integration with Microsoft Purview including extending Protection policies to enforce access permissions to more sources and using Data Loss Prevention policies to restrict access to semantic models with sensitive data. 
• The general availability of external data sharing allows you to directly share OneLake tables and folders with other Fabric tenants in an easy, quick, and secure manner. 
• Fabric is FedRAMP High certified for the Azure Commercial cloud, the highest level of compliance and security standards required by the federal government for cloud service providers. Now government agencies can run Fabric on the Azure Commercial cloud while maintaining strict compliance. 

You can learn more about all of these announcements and so much more in the Fabric November 2024 Update blog post and the numerous blog posts that will go live throughout this week on the Fabric blog channel.  

Fabric billing and consumption updates

Finally, we’re making some important changes to Fabric’s billing model. First, coming soon, organizations with multiple capacities can now direct Copilot in Fabric consumption and billing to a specific capacity, no matter where the Copilot in Fabric usage actually takes place. Admins can assign specific members of their organization to the specified F64 or higher capacity for all of their Copilot requests. These requests will be consumed and billed on that assigned F64+ capacity, ensuring Copilot in Fabric usage doesn’t impact priority jobs while expanding Copilot access to any workspace regardless of its capacity.

Additionally, we’re providing capacity admins with more control over the Fabric jobs running in their capacities. Surge protection, now in preview, helps protect capacities from unexpected surges in background workload consumption. Admins can use surge protection to set a limit on background activity consumption, which will prevent background jobs from starting when reached. Admins can configure different limits for each capacity in your organization to give you the flexibility to meet your needs.

Watch Fabric in action at Microsoft Ignite

Join us at Microsoft Ignite 2024 from November 19 to November 21, 2024 to see all of these announcements in action across the following sessions:  

• “Microsoft Fabric: What’s new and what’s next” with Arun Ulagaratchagan and Amir Netz
• “Power AI apps with unified data and insights in Microsoft Fabric” with Panos Antonopoulos, Anna Hoffman, and Asad Khan 
• “Ingest, govern, and secure your data with OneLake” with Josh Caplan, Wilson Lee, and Adi Regev 
• “Unlock the power of Real-Time Intelligence in the era of AI” with Yitzhak Kesselman, Tessa Kloster, Niraj Revankar, Vijay Sankaran, and Ksenia Suresh. 

And six other Fabric breakout sessions. You can also join us at labs and theater sessions throughout the event. Find all the data-related sessions at Ignite. You can also learn about other announcements across our Azure portfolio by reading these blogs by Jessica Hawk and Omar Khan. 

• The next wave of Azure innovation: Azure AI Foundry, intelligent data, and more: We’re bringing a huge range of innovation to our AI platform including the new Azure AI Foundry, a unified platform designed to empower both developers and business decision-makers in the age of AI. 
• Scale your AI transformation with a powerful, secure, and adaptive cloud infrastructure: We’re also announcing cloud and AI infrastructure announcements, from advancements in chips and liquid cooling to new data integrations and more flexible cloud deployments.  

Finally, if you want more strategic guidance to help you along your data and analytics journey in the era of AI, you should watch the recent Data and Analytics Forum.

Getting started with Microsoft Fabric

New customers can try out everything Fabric has to offer by signing up for a free 60-day trial—no credit card information required. Learn how to start your free trial.  

If you’re considering purchasing Fabric and need help deciding on a SKU, we’re excited to share a new Fabric SKU estimator, now in private preview. You can sign up to try out this tool as part of the early adopter program—try the SKU estimator.

Start building your Fabric skills

Be one of the first to start using Fabric Databases

Ready to build reliable, highly scalable applications where cloud authentication and encryption are secured by default? Starting December 3, 2024, join live sessions with database experts and see just how easy it is to get started. View the schedule and register for the series.

Get certified in Microsoft Fabric—for free

Get ready to fast-track your career by earning your Microsoft Certified: Fabric Analytics Engineer Associate certification. For a limited time, we’re offering 5,000 free DP-600 exam vouchers to eligible Fabric community members. Complete your exam by the end of the year and join the ranks of certified experts. Don’t miss this opportunity to get certified. 

A new Fabric certification for data engineers

We’re excited to announce a brand-new certification for data engineers. The new Microsoft Certified: Fabric Data Engineer Associate certification will help you demonstrate your skills with data ingestion, transformation, administration, monitoring, and performance optimization in Fabric. To earn this certification, pass Exam DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric, currently in beta.

Join us at the 2025 Microsoft Fabric Community Conference

Looking to gain hands-on experience with Fabric and learn directly from the people who created it? If so, join us from March 29 to April 3, 2025, at the Microsoft Fabric Community Conference in Las Vegas, Nevada. Register today. 

Explore additional resources for Microsoft Fabric

If you want to learn more about Fabric:  

• Sign up for the Fabric free trial. 
• Register for the Microsoft Data and Analytics Forum. 
• View the updated Fabric Roadmap. 
• Visit the Fabric website. 
• Join the Fabric community. 
• Read other in-depth, technical blogs on the Microsoft Fabric Updates Blog. 
• Explore the Fabric technical documentation.

Read additional blogs by industry-leading partners:

• “Data Governance in Microsoft Fabric with Microsoft Purview,” by CloudThat Technologies Pvt. Ltd.
•  “Key Fabric Announcements and Overview of Fabric Databases,” by Telefónica Tech.
• “Architecting tomorrow—A Microsoft Fabric Blueprint to intelligent enterprise covering Fabric Databases, AI Skills, Fabric and Microsoft Purview, Apache Iceberg support in OneLake,” by Avasoft Inc.
• “Microsoft Fabric Databases,” “Microsoft Fabric’s AI Skills,” and “Data Engineering: Liquid Clustering in Fabric,” by Verne Tech.
• “A First Look at Fabric Mirroring for SQL Managed Instance,” by Coeo Ltd.
• “Leveraging Microsoft Fabric for Dynamics 365 with Dataverse,” and “Automating Data Workflows in Microsoft Fabric: A Low-Code/No-Code Approach,” by PreludeSys.
• “Enabling self-service for supply chain analytics with Microsoft Fabric and Direct Lake,” “Transforming data operations with Microsoft Fabric and CI/CD for ISVs,” and “How Microsoft Fabric transformed data analytics for an ISV with Real-Time Intelligence,” by MAQ Software.       

¹Based upon n=209 user studies conducted by Microsoft Corporation in October 2024 that measured four common metrics associated with the consumption experience of Power BI in Microsoft Fabric. Qualitative sentiment gathered upon task completion. The actual results may vary. 

²Based upon n=210 user studies conducted with technical practitioners by Microsoft Corporation in October 2024 that measured time to complete four common tasks associated with AI application development on a SQL database in Microsoft Fabric and on Azure SQL Database. Actual results may vary based upon individual performance and sentiment

The post Accelerate app innovation with an AI-powered data platform appeared first on Microsoft AI Blogs.

Today, we’re announcing new agentic capabilities that will accelerate these gains and bring AI-first business process to every organization. 

• First, the ability to create autonomous agents with Copilot Studio will be in public preview next month.  

• Second, we’re introducing ten new autonomous agents in Dynamics 365 to build capacity for every sales, service, finance and supply chain team. 

Copilot is your AI assistant — it works for you — and Copilot Studio enables you to easily create, manage and connect agents to Copilot. Think of agents as the new apps for an AI-powered world. Every organization will have a constellation of agents — ranging from simple prompt-and-response to fully autonomous. They will work on behalf of an individual, team or function to execute and orchestrate businesses process. Copilot is how you’ll interact with these agents, and they’ll do everything from accelerating lead generation and processing sales orders to automating your supply chain.  

Empowering more customers to build autonomous agents in Copilot Studio 

Earlier this year, we announced a host of powerful new capabilities in Copilot Studio, including the ability to create autonomous agents. Next month, these capabilities are shifting from private to public preview, allowing more customers to reimagine critical business processes with AI. Agents draw on the context of your work data in Microsoft 365 Graph, systems of record, Dataverse and Fabric, and can support everything from your IT help desk to employee onboarding and act as a personal concierge for sales and service.  

Organizations like Clifford Chance, McKinsey & Company, Pets at Home and Thomson Reuters are already creating autonomous agents to increase revenue, reduce costs and scale impact. Pets at Home, the U.K.’s leading pet care business, created an agent for its profit protection team to more efficiently compile cases for skilled human review, which could have the potential to drive a seven-figure annual savings. McKinsey & Company is creating an agent that will speed up the client onboarding process. The pilot showed lead time could be reduced by 90% and administrative work reduced by 30%. Thomson Reuters built a professional-grade agent to speed up the legal due diligence workflow, with initial testing showing some tasks could be done in half the time. This agent can help Thomson Reuters increase the efficiency of work for clients and boost its new business pipeline.  

Scaling your teams with 10 new autonomous agents in Dynamics 365  

New autonomous agents enable customers to move from legacy lines of business applications to AI-first business process. AI is today’s ROI and tomorrow’s competitive edge. These new agents are designed to help every sales, service, finance and supply chain team drive business value — and are just the start. We will create many more agents in the coming year that will give customers the competitive advantage they need to future-proof their organization. Today, we’re introducing ten of these autonomous agents. Here are a few examples: 

• Sales Qualification Agent: In a profession where time literally equals money, this agent enables sellers to focus their time on the highest priority sales opportunities while the agent researches leads, helps prioritize opportunities and guides customer outreach with personalized emails and responses. 

• Supplier Communications Agent: This agent enables customers to optimize their supply chain and minimize costly disruptions by autonomously tracking supplier performance, detecting delays and responding accordingly — freeing procurement teams from time consuming manual monitoring and firefighting. 

• Customer Intent and Customer Knowledge Management Agents: A business gets one chance to make a first impression, and these two agents are game changers for customer care teams facing high call volumes, talent shortages and heightened customer expectations. These agents work hand in hand with a customer service representative by learning how to resolve customer issues and autonomously adding knowledge-based articles to scale best practices across the care team. 

As agents become more prevalent in the enterprise, customers want to be confident that they have robust data governance and security. The agents coming to Dynamics 365 follow our core security, privacy and responsible AI commitments. Agents built in Copilot Studio include guardrails and controls established by maker-defined instructions, knowledge and actions. The data sources linked to the agent adhere to stringent security measures and controls — all managed in Copilot Studio. These include data loss prevention, robust authentication protocols and more. Once these agents are created, IT administrators can apply a comprehensive set of features to govern their use. 

Microsoft’s own transformation  

At Microsoft, we’re using Copilot and agents to reimagine business process across every function while empowering employees to scale their impact. Using Copilot, one sales team has achieved 9.4% higher revenue per seller and closed 20% more deals(2). And thanks to Copilot, one team is resolving customer cases nearly 12% faster(3). Our Marketing team is seeing a 21.5% increase in conversion rate on Azure.com with a custom agent designed to assist buyers(4). And in Human Resources, our employee self-service agent is helping answer questions with 42% greater accuracy(5).  

With Copilot and agents, the possibilities are endless — we can’t wait to see what you create. Start building agents in Copilot Studio today. Read more about autonomous agent capabilities on the Copilot Studio and Dynamics 365 blogs. Head to WorkLab for more insights on Microsoft’s own AI transformation.

NOTES

1. Statistics are from an internal Honeywell survey of 5,000 employees where 611 employees responded.
2. Internal Microsoft Sales Team data based on 687 sellers of Microsoft 365 Copilot, Jan. – June 2024, as compared with sellers with low usage of Copilot. Regular usage of Copilot means sellers who use Copilot daily at least 50% of the time during the testing period.
3. Internal CSS experiment conducted by Microsoft, 600 participants using Copilot Q&A function, Azure Core team, Nov. – Dec. 2023. These results are statistically significant at the 95th% confidence interval.
4. Internal Microsoft Marketing team data, June – Sept. 2024. Conversion means initiating the free account sign-up process on Azure.com.
5. Internal HR experiment conducted by Microsoft, 33 participants, Oct. 2024. These results are statistically significant at the 95th% confidence interval.

The post New autonomous agents scale your team like never before appeared first on Microsoft AI Blogs.

Today, we’re announcing new agentic capabilities that will accelerate these gains and bring AI-first business process to every organization. 

• First, the ability to create autonomous agents with Copilot Studio will be in public preview next month.  

• Second, we’re introducing ten new autonomous agents in Dynamics 365 to build capacity for every sales, service, finance and supply chain team. 

Copilot is your AI assistant — it works for you — and Copilot Studio enables you to easily create, manage and connect agents to Copilot. Think of agents as the new apps for an AI-powered world. Every organization will have a constellation of agents — ranging from simple prompt-and-response to fully autonomous. They will work on behalf of an individual, team or function to execute and orchestrate businesses process. Copilot is how you’ll interact with these agents, and they’ll do everything from accelerating lead generation and processing sales orders to automating your supply chain.  

Empowering more customers to build autonomous agents in Copilot Studio 

Earlier this year, we announced a host of powerful new capabilities in Copilot Studio, including the ability to create autonomous agents. Next month, these capabilities are shifting from private to public preview, allowing more customers to reimagine critical business processes with AI. Agents draw on the context of your work data in Microsoft 365 Graph, systems of record, Dataverse and Fabric, and can support everything from your IT help desk to employee onboarding and act as a personal concierge for sales and service.  

Organizations like Clifford Chance, McKinsey & Company, Pets at Home and Thomson Reuters are already creating autonomous agents to increase revenue, reduce costs and scale impact. Pets at Home, the U.K.’s leading pet care business, created an agent for its profit protection team to more efficiently compile cases for skilled human review, which could have the potential to drive a seven-figure annual savings. McKinsey & Company is creating an agent that will speed up the client onboarding process. The pilot showed lead time could be reduced by 90% and administrative work reduced by 30%. Thomson Reuters built a professional-grade agent to speed up the legal due diligence workflow, with initial testing showing some tasks could be done in half the time. This agent can help Thomson Reuters increase the efficiency of work for clients and boost its new business pipeline.  

Scaling your teams with 10 new autonomous agents in Dynamics 365  

New autonomous agents enable customers to move from legacy lines of business applications to AI-first business process. AI is today’s ROI and tomorrow’s competitive edge. These new agents are designed to help every sales, service, finance and supply chain team drive business value — and are just the start. We will create many more agents in the coming year that will give customers the competitive advantage they need to future-proof their organization. Today, we’re introducing ten of these autonomous agents. Here are a few examples: 

• Sales Qualification Agent: In a profession where time literally equals money, this agent enables sellers to focus their time on the highest priority sales opportunities while the agent researches leads, helps prioritize opportunities and guides customer outreach with personalized emails and responses. 

• Supplier Communications Agent: This agent enables customers to optimize their supply chain and minimize costly disruptions by autonomously tracking supplier performance, detecting delays and responding accordingly — freeing procurement teams from time consuming manual monitoring and firefighting. 

• Customer Intent and Customer Knowledge Management Agents: A business gets one chance to make a first impression, and these two agents are game changers for customer care teams facing high call volumes, talent shortages and heightened customer expectations. These agents work hand in hand with a customer service representative by learning how to resolve customer issues and autonomously adding knowledge-based articles to scale best practices across the care team. 

As agents become more prevalent in the enterprise, customers want to be confident that they have robust data governance and security. The agents coming to Dynamics 365 follow our core security, privacy and responsible AI commitments. Agents built in Copilot Studio include guardrails and controls established by maker-defined instructions, knowledge and actions. The data sources linked to the agent adhere to stringent security measures and controls — all managed in Copilot Studio. These include data loss prevention, robust authentication protocols and more. Once these agents are created, IT administrators can apply a comprehensive set of features to govern their use. 

Microsoft’s own transformation  

At Microsoft, we’re using Copilot and agents to reimagine business process across every function while empowering employees to scale their impact. Using Copilot, one sales team has achieved 9.4% higher revenue per seller and closed 20% more deals(2). And thanks to Copilot, one team is resolving customer cases nearly 12% faster(3). Our Marketing team is seeing a 21.5% increase in conversion rate on Azure.com with a custom agent designed to assist buyers(4). And in Human Resources, our employee self-service agent is helping answer questions with 42% greater accuracy(5).  

With Copilot and agents, the possibilities are endless — we can’t wait to see what you create. Start building agents in Copilot Studio today. Read more about autonomous agent capabilities on the Copilot Studio and Dynamics 365 blogs. Head to WorkLab for more insights on Microsoft’s own AI transformation.

NOTES

1. Statistics are from an internal Honeywell survey of 5,000 employees where 611 employees responded.
2. Internal Microsoft Sales Team data based on 687 sellers of Microsoft 365 Copilot, Jan. – June 2024, as compared with sellers with low usage of Copilot. Regular usage of Copilot means sellers who use Copilot daily at least 50% of the time during the testing period.
3. Internal CSS experiment conducted by Microsoft, 600 participants using Copilot Q&A function, Azure Core team, Nov. – Dec. 2023. These results are statistically significant at the 95th% confidence interval.
4. Internal Microsoft Marketing team data, June – Sept. 2024. Conversion means initiating the free account sign-up process on Azure.com.
5. Internal HR experiment conducted by Microsoft, 33 participants, Oct. 2024. These results are statistically significant at the 95th% confidence interval.

The post New autonomous agents scale your team like never before appeared first on Microsoft AI Blogs.

But as you prepare for a future built on AI, you also need clean data to fuel AI. Fostering game-changing AI innovation requires a well-orchestrated data estate that can support everything from small AI pet-projects to scalable AI solutions that span the company. This is a challenging prospect for most organizations whose data environments have grown organically over time with specialized and fragmented solutions. A complex data estate leads to data sprawl and duplication, infrastructure inefficiencies, limited interoperability, and even data exposure risks—not an ideal place to start your AI innovation.

For data leaders trying to streamline and advance their data estate, the burden is often on you to search through the thousands of data and AI offerings, find the right set of offerings, figure out how to integrate them, and do it in such a way that is scalable and can evolve over time. Most data leaders would rather focus on the outcomes of their tools rather than spend all their time integrating specialized solutions and maintaining their data estate.

If you are thinking about how you can prepare your data estate for the era of AI, or will soon, I invite you to join us for the Microsoft Data and Analytics Forum on October 30^th, 2024. The event is online only and free to attend.

A digital event designed for data leaders 

Microsoft Data and Analytics Forum

Learn how you can prepare your data and analytics for game-changing AI innovations.

Register here

The Data and Analytics Forum is an upcoming, digital event designed to help data leaders navigate the current data and AI landscape. Microsoft experts will walk you through the latest trends and industry best practices to help you stay ahead of the curve. You will also hear learnings from current data leaders who have successfully implemented an AI-ready data strategy. Finally, we will highlight how the Microsoft Intelligent Data Platform, a suite of analytics, database, AI, and governance technologies, can help you create a powerful, agile, and secure data and AI foundation, made simple.

The first half of the event will include a keynote session on the current data and AI landscape, followed by your choice of three breakout sessions. Here are the full list of sessions: 

• Data and Analytics Forum keynote: Jessica Hawk, Corporate Vice President of Data, AI, and Digital Applications, will cover the current data landscape now with AI, how the Microsoft Intelligence Platform can help organizations transform their data estate, and, through a fireside chat with customers, how companies have been able to prepare their data estate to take advantage of AI. 

• A data foundation that unlocks AI innovation: Emerson Gatchalian, Chief Data and Analytics Officer Americas, will zoom out to study the concepts and conditions at the root of today’s data and analytics stack, from what’s driving investment to the issues companies face in siloed data. Then he’ll show how the right data foundation can meet this AI moment. 

• Fuel your data culture with generative AI: In my session, we’ll explore both the challenges and opportunities that data leaders face in building a data-driven culture and how modern tools and next generation AI can help accelerate your path. 

• Data governance in the era of AI: Karthik Ravindran, General Manager of Enterprise Data and AI Governance will cover governance and its importance in an AI world, the influence of data on AI, and the opportunities and the quality challenges of generative AI. Governance practices will be covered, leading to an overview of Microsoft Purview.

Register today

Register now for the Microsoft Data and Analytics Forum and learn how to prepare your organization to take advantage of the latest data and AI innovations.

See the latest innovation coming to Fabric

Check out the latest capabilities coming to the Microsoft Fabric platform by reading the European Fabric Community Conference 2024 announcement blog.

We will also be releasing even more innovation at Microsoft Ignite this year. You’ll see demos of the latest capabilities for Fabric and across all Microsoft products. You can also connect with experts, community leaders, and partners who can help you modernize and manage your own intelligent apps, safeguard your business and data, accelerate productivity, and so much more. 

Explore additional resources for Microsoft Fabric 

If you want to learn more about Microsoft Fabric:

• Sign up for the Microsoft Fabric free trial. 

• View the updated Microsoft Fabric Roadmap. 

• Visit the Microsoft Fabric website. 

• Join the Fabric community. 

• Read other in-depth, technical blogs on the Microsoft Fabric Updates Blog. 

• Explore the Fabric technical documentation. 

¹Expanding AI’s impact with organizational learning.

The post Navigate the data and AI landscape by joining us at the Microsoft Data and Analytics Forum appeared first on Microsoft AI Blogs.

Thank you to everyone joining us at the first annual European Microsoft Fabric Community Conference this week in Stockholm, Sweden! Besides seeing the beautiful views of Old Town, attendees are getting an immersive analytics and AI experience across 120 sessions, 3 keynotes, 10 workshops, an expo hall, community lounge, and so much more. They are seeing firsthand the latest capabilities we are bringing to the Fabric platform. For those unable to attend, this blog will highlight the most significant announcements that are already changing the way our customers interact with Fabric. 

Microsoft Fabric

Learn how to set up Fabric for your business and discover resources that help you take the first steps

Try Fabric today

Over 14,000 customers have invested in the promise of Microsoft Fabric to accelerate their analytics including industry-leaders like KPMG, Chanel, and Grupo Casas Bahia. For example, Chalhoub Group, a regional luxury retailer with over 750 experiential retail stories, used Microsoft Fabric to modernize its analytics and streamline its data sources into one platform, significantly speeding up their processes.

“It’s about what the technology enables us to achieve—a smarter, faster, and more connected operational environment.”

—Mark Hourany, Director of People Analytics, Chalhoub Group

Check out the myriad ways customers are using Microsoft Fabric to unlock more value from their data:

New capabilities coming to Microsoft Fabric

Since launching Fabric, we’ve released thousands of product updates to create a more complete data platform for our customers. And we aren’t slowing down anytime soon. We’re thrilled to share a new slate of announcements that are applying the power of AI to help you accelerate your data projects and get more done.

Specifically, these updates are focused on making sure Fabric can provide you with: 

1. AI-powered development: Fabric can give teams the AI-powered tools needed for any data project in a pre-integrated and optimized SaaS environment.

2. An AI-powered data estate: Fabric can help you access your entire multi-cloud data estate from a single, open data lake, work from the same copy of data across analytics engines, and use that data to power AI innovation 

3. AI-powered insights: Fabric can empower everyone to better understand their data with AI-powered visuals and Q&A experiences embedded in the Microsoft 365 apps they use every day. 

Let’s look at the latest features and integrations we are announcing in each of these areas. 

AI-powered development

With Microsoft Fabric, you have a single platform that can handle all of your data projects with role-specific tools for data integration, data warehousing, data engineering, data science, real-time intelligence, and business intelligence. All of your data teams can work together in the same pre-integrated, optimized experience, and get started immediately with an intuitive UI and low code tools. All the workloads access the same unified data lake, OneLake, and work from a single pool of capacity to simplify the experience and ease collaboration. With built-in security and governance, you can secure your data from any intrusion and ensure only the right people have access to the right data. And as we continue to infuse Copilot and other AI experiences across Fabric, you can not only use Fabric for any application, but also accelerate time to production. In the video below, check out how users can take advantage of Copilot to create end-to-end solutions in Fabric: 

Today, I’m thrilled to share several new enhancements and capabilities coming to the platform and each workload in Fabric.

Fabric platform

We’re building platform-wide capabilities to help you more seamlessly manage DevOps, tackle projects of any scale and complexity. First, we’re updating the UI for deployment pipelines, in preview, to be more focused, easier to navigate, and have a smoother flow, now in preview. Next, we’re introducing the Terraform provider for Fabric, in preview, to help customers ensure deployments and management tasks are executed accurately and consistently. The Terraform provider enables users to automate and streamline deployment and management processes using a declarative configuration language. We are also adding support for Azure service principal in Microsoft Fabric REST APIs to help customers automate the deployment and management of Fabric environments. You can manage principal permissions for Fabric workspaces, as well as the creation and management of Fabric artifacts like eventhouses and lakehouses.

We’re excited to announce the general availability of Fabric Git integration. Sync Fabric workspaces with Git repositories, leverage version control, and collaborate seamlessly using Azure DevOps or GitHub. We are also extending our integration with Visual Studio Code (VS Code). You can now debug Fabric notebooks with the web version of VS Code and integrate Fabric environments as artifacts with the Synapse VS Code extension—allowing you to explore and manage Fabric environments from within VS Code. To learn more about these updates, read the Fabric September 2024 Update blog.

Security and governance

To help organizations govern the massive volumes of data across their data estate, we’re adding more granular data management capabilities including item tagging and enhancements to domains—both of which are now in preview. We’re introducing the ability to apply tags to Fabric items, helping users more easily find and use the right data. Once applied, data consumers can view, search, and filter by the applied tags across various experiences. We’re also enhancing domains and subdomains with more controls for admins including the ability to define a default sensitivity label, domain level export and sharing settings, and insights for admins, on tenant domains. Finally, for data owners, we’re adding the ability to search for data by domain, to filter workspaces by domain, and to view domain details in a data item’s location.

Over the past year, we’ve launched a myriad of security features designed to secure your data at every step of the analytics journey. Two of our network security features, trusted workspace access, and managed private endpoints, were previously only available in F64 or higher capacities. We’re excited to share that, based on your feedback, we are making these features available in all Fabric capacities. We’re also making managed private endpoints available in trial capacities as part of this release.

We’re also announcing deeper integration with Microsoft Purview, Microsoft’s unified data security, data governance, and compliance solution. Coming soon, security admins will be able to use Microsoft Purview Information Protection sensitivity labels to manage who has access to Fabric items with certain labels—similar to Microsoft 365. Also coming soon, we are extending support for Microsoft Purview Data Loss Prevention (DLP) policies, so security admins can apply DLP policies to detect the upload of sensitive data, like social security numbers, to a lakehouse in Fabric. If detected, the policy will trigger an automatic audit activity, can alert the security admin, and can even show a custom policy tip to data owners to remedy themselves. These capabilities will be available at no additional cost during preview in the near term, but will be part of a new Purview pay-as-you-go consumptive model, with pricing details to follow in the future. Learn more about how to secure your Fabric data with Microsoft Purview by watching the following video: 

You can also complement and extend the built-in governance in Fabric by seamlessly connecting your Fabric data to the newly reimagined Purview Data Governance solution—now generally available. This new solution delivers an AI-powered, business-friendly, and unified solution that can seamlessly connect to data sources within Fabric and across your data estate to streamline and accelerate the activation of your modern data governance practice. Purview integrations enable Fabric customers to discover, secure, govern, and manage Fabric items from a single pane of glass within Purview for an end-to-end approach to their data estate. Learn more about these Microsoft Purview innovations.  

Workload enhancements and updates

We’re also making significant updates across the six core workloads in Fabric: Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Intelligence, and Microsoft Power BI.

Data Factory

In the Data Factory workload, built to help you solve some of the most complex data integration scenarios, we are simplifying the data ingestion experience with copy job, transforming the dataflow capability, and releasing enhancements for data pipelines. With copy job, now in preview, you can ingest data at petabyte scale, without creating a dataflow or data pipeline. Copy job supports full, batch, and incremental copy from any data sources to any data destinations. Next, we are releasing the Copilot in Fabric experience for Dataflows Gen2 into general availability—empowering everyone to design dataflows with the help of an AI-powered expert. We’re also releasing Fast Copy in Dataflows Gen2 into general availability, enabling you to ingest large amounts of data using the same high-performance backend for data movement used in Data Factory (e.g., “copy” activity in data pipelines, or copy job). Lastly for Dataflows Gen2, we are introducing incremental refresh into preview, allowing you to limit refreshes to just new or updated data to reduce refresh times.

Along with the dataflow announcements, we’re announcing an array of enhancements for data pipelines in Fabric, including the general availability of the on-premises data gateway integration, the preview of Fabric user data functions in data pipelines, the preview of invoke remote pipeline to call Azure Data Factory (ADF) and Synapse pipelines from Fabric, and a new session tag parameter for Fabric Spark notebook activity to enable high-concurrency Notebook runs. Additionally, we’ve made it easier to bring ADF pipelines into Fabric by linking your existing pipelines to your Fabric workspace. You’ll be able to fully manage your ADF factories directly from the Fabric workspace UI and convert your ADF pipelines into native Fabric pipelines with an open-source GitHub project. 

Data Engineering

For the Data Engineering workload, we’re updating the native execution engine for Fabric Spark and releasing upgraded Fabric Runtime 1.3 into general availability. The native execution engine enhances Spark job performance by running queries directly on lakehouse infrastructure, achieving up to four times faster performance compared to traditional Spark based on the TPC-DS 1TB benchmark. The native execution engine can now, in preview, support Fabric Runtime 1.3, which together can further enhance the performance of Spark jobs and queries for both data engineering and data science projects. This engine has been completely rewritten to offer superior query performance across data processing; extract, transform, load (ETL); data science, and interactive queries. We are also excited to announce a new acceleration tab and UI enablement for the native execution engine.

Additionally, we are announcing an extension of support in Spark to mirrored databases, providing a consistent and convenient way to access and explore databases seamlessly with the Spark engine. You can easily add data sources, explore data, perform transformations, and join your data with other lakehouses and mirrored databases. Finally, we are excited to launch T-SQL notebooks into public preview. The T-SQL notebook enables SQL developers to author and run T-SQL code with a connected Fabric data warehouse or SQL analytics endpoint, allowing them to execute complex T-SQL queries, visualize results in real-time, and document analytical process within a single, cohesive interface. 

Data Warehouse

We are excited to announce the Copilot in Fabric experience for Data Warehouse is now in preview. This AI assistant experience can help developers generate T-SQL queries for data analysis, explain and add in-line code comments for existing T-SQL queries, fix broken T-SQL code, and answer questions about general data warehousing tasks and operations. Learn more about the Copilot experience for Data Warehouse here. And as mentioned above, we are announcing T-SQL notebooks—allowing you to create a notebook item directly from the data warehouse editor in Fabric and use the rich capabilities of notebooks to run T-SQL queries.

Real-Time Intelligence

In May 2024, we launched a new workload called Real-Time Intelligence that combined Synapse Real-Time Analytics and Data Activator with a range of additional new features, currently in preview, to help organizations make better decisions with up-to-the-minute insights. We are excited to share new capabilities, all in preview, to help you better ingest, analyze, and visualize your real-time data.

First, we’re announcing the launch of the new Real-Time hub user experience; a redesigned and enhanced experience with a new left navigation, a new page called “My Streams” to create and access custom streams, and four new eventstream connectors: Azure SQL Managed Instance – change data capture (MI CDC), SQL Server on Virtual Machine – change data capture (VM CDC), Apache Kafka, and Amazon MSK Kafka. These new sources empower you to build richer, more dynamic eventstreams in Fabric. We’re also enhancing eventstream capabilities by supporting eventhouse as a new destination for your data streams. Eventhouses, equipped with KQL databases, are designed to analyze large volumes of data, particularly in scenarios that demand real-time insight and exploration.

We’re also pleased to announce an upgrade to the Copilot in Fabric experience in Real-Time Intelligence, which translates natural language into KQL, helping you better understand and explore your data stored in Eventhouse. Now, the assistant supports a conversational mode, allowing you to ask follow-up questions that build on previous queries within the chat. With the addition of multi-variate anomaly detection, it’s even easier to discover the unknowns in your high-volume, high-granularity data. You can also have Copilot create a real-time dashboard instantly based on the data in your table, providing immediate insights you can share in your organization.

Finally, we are upgrading the Data Activator experience to make it easier to define a variety of rules to act in response to changes in your data over time, and the richness of our rules have improved to include more complex time window calculations and responding to every event in a stream. You can set up alerts from all your streaming data, Power BI visuals, and real-time dashboards and now even set up alerts directly on your KQL queries. With these new enhancements, you can make sure action is taken the moment something important happens.

Learn more about all of these workload enhancements in the Fabric September 2024 Update blog.

Power BI

We’re thrilled to announce new capabilities across Power BI that will make it easier to track and use the KPIs that matter most to you, create organizational apps, and work with Direct Lake semantic models. 

First, we are announcing the preview of Metric sets which will allow users to promote consistent and reliable metrics in large organizations across Fabric, making it easier for end users to discover and use standardized metrics from corporate models. With Metric sets, trusted creators within an organization can develop standardized metrics, which incorporate essential business logic from Power BI. These creators can organize the metrics into collections, promote and certify them, and make them easily discoverable for end users and other creators. These endorsed and promoted metrics can then be used to build Power BI reports, improving data quality across the organization, and can also be reused in other Fabric solutions, such as notebooks.

We’re improving organizational apps in Power BI, a key tool for packaging and securely distributing Power BI reports to your organization. Now in preview, you can create multiple organizational apps in each workspace, and they can contain other Fabric items like notebooks and real-time dashboards. The app interface can even be customized, giving you more control over the color, navigation style, and landing experience.

We’re also making it easier to work with Direct Lake semantic models with new version history for semantic models, similar to the experience found across the Microsoft 365 apps. Power BI users can also now live edit Direct Lake semantic models right from Power BI Desktop. And we’re excited to announce a capability widely asked for by Power BI users: a dark mode in Power BI Desktop. 

Finally, we’re announcing the general availability of OneLake integration for semantic models in Import mode. OneLake integration automatically writes data imported into your semantic models to Delta Lake tables in OneLake so that you can enjoy the benefits of Fabric without any migration effort. Once added to a lakehouse in OneLake, you can use T-SQL, Python, Scala, PySpark, Spark SQL, or R on these Delta tables to consume this data and add business value. All of this value comes at no additional cost as data stored in OneLake for Power BI import semantic models is included in the price of your Power BI licensing.

Learn more about the Power BI announcements in the Power BI September 2024 Feature blog. Also see the AI-powered insights section below for new Copilot experiences for Power BI creators and consumers.

AI-powered data estate

With OneLake, Fabric’s unified data lake, you can create a truly AI-powered data estate to fuel your AI innovation and data culture. OneLake’s shortcuts and mirroring capabilities enable you to access your entire multi-cloud data estate from a single, intuitively organized data lake. With your data in OneLake, you can then work from a single copy across analytics engines, whether you are using Spark, T-SQL, KQL, or Analysis Services and even access that data from other apps like Microsoft Excel or Teams. Today, we are thrilled to share even more capabilities and enhancements coming to OneLake that can help you better connect to and manage your data estate.

One of the biggest benefits of OneLake is the ability to create shortcuts to your data sources, which virtualizes data in OneLake without moving or duplicating it. We are pleased to announce that shortcuts for Google Cloud Services (GCS) and S3-compatible sources are now generally available. These shortcuts also support the on-premise data gateway, which you can use to connect to your on-premise S3 compatible sources as well as GCS buckets that are protected by a virtual private cloud. We’ve also made enhancements to the REST APIs for OneLake shortcuts, including adding support for all current shortcut types and introducing a new list operation. With these improvements, you can programmatically create and manage your OneLake shortcuts.

We’re also excited to announce further integration with Azure Databricks with the ability to access Databricks Unity Catalog tables directly from OneLake—now in preview. Users can just provide the Azure Databricks workspace URL and select the catalog, and Fabric creates a shortcut for every table in the selected catalog, keeping the data in sync in near real-time. Once your Azure Databricks Catalog item is created, it behaves the same as any other item in Fabric, so you can access the table through SQL endpoints, notebooks, or Direct Lake mode for Power BI reports. Learn more about the OneLake shortcut and Azure Databricks announcements in the Fabric September 2024 Updates blog.

At Microsoft Build last May, we announced an expanded partnership with Snowflake that gives our customers the flexibility to easily connect and work across our tools. Today, I’m excited to share progress on this partnership with the upcoming preview of shortcuts to Iceberg tables. In the coming weeks, Microsoft Fabric engines will be able to consume Iceberg data with no movement or duplication using OneLake shortcuts. Simply point to an Iceberg dataset from Snowflake or another Iceberg-compatible service, and OneLake virtualizes the table as a Delta Lake table for broad compatibility across Fabric engines. This means you can work with a single copy of your data across Snowflake and Fabric. With the ability to write Iceberg data to OneLake from Snowflake, Snowflake customers will have the flexibility to store Iceberg data in OneLake and use it across Fabric.

Finally, we’ve released mirroring support for Snowflake databases into general availability—providing a seamless, no-ETL experience for integrating existing Snowflake data with the rest of your data in Microsoft Fabric. With this capability, you can continuously replicate Snowflake data directly into Fabric OneLake in near real-time, while maintaining strong performance on your transactional workloads. Learn more about Snowflake mirroring in Fabric.

AI-powered insights

With your data teams using the AI-enhanced tools in Fabric to accelerate development of insights across your data estate, you then need to ensure these insights reach those who can use them to inform decisions. With easy-to-understand Power BI reports and AI-powered Q&A experiences, Fabric bridges the gap between data and business results to help you foster a culture that empowers everyone to find data-driven answers.

We’re announcing a richer Copilot experience in Power BI to help create reports in a clearer, more transparent way. This new experience, now in preview, includes improved conversational abilities between you and Copilot that makes it easier to provide more context to Copilot initially so you can get the report you need on the first try. Copilot will even provide report outlines to improve transparency on data fields being used. We are also releasing the ability to auto-generate descriptions for measures into general availability. Lastly, report viewers can now use Copilot to summarize a report or page right from the Power BI mobile app, now in preview.

We’re also enhancing email subscriptions for reports by extending dynamic per recipient subscriptions to include both paginated and Power BI reports. With dynamic subscriptions, you can set up a single email subscription that delivers customized reports to each recipient based on the data in the semantic model. For reports that are too large for email format, we are also giving you the ability to deliver Power BI and paginated report subscriptions to a OneDrive or SharePoint location for easy access. Finally, you can now create print-ready, parameterized paginated reports using the Get Data experience in Power BI Report Builder—accessing over 100 data sources.

Learn more about all of the Power BI announcements in the Power BI September 2024 Feature blog. 

Start building your Fabric skills

We are grateful so many of you have decided to grow your skills with Microsoft Fabric. In the past six months alone, more than 17,000 individuals have earned the Fabric Analytics Engineer Associate certification, making it the fastest growing certification in Microsoft’s history. Today, we’re excited to announce a brand-new certification for data engineers coming in late October. The new Microsoft Certified: Fabric Data Engineer Associate certification will help you prove your skills with data ingestion, transformation, administration, monitoring, and performance optimization in Fabric. 

Our portfolio of Microsoft Credentials for Fabric also includes four Microsoft Applied Skills, which are a complement to Microsoft certifications and free of cost. Applied Skills test your ability to complete a real-world scenario in a lab environment and provide you with formal credentials that showcase your technical skills to employers. For Fabric, we have Applied Skills credentials covering implementing lakehouses, data warehouses, data science and real-time intelligence solutions. 

Visit the Fabric Career Hub to get the best free resources to help you get certified and the latest certification exam discounts. Don’t forget to also join the vibrant Fabric community to connect with like-minded data professionals, get all your Fabric technical questions answered, and stay current on the latest product updates, training programs, events, and more. 

And if you want to test your skills, explore Fabric, and win prizes, you can also register for the Microsoft Fabric and AI Learning Hackathon. To learn more, you can join our Ask Me Anything event on October 8. 

Join us at Microsoft Ignite

We are excited to bring even more innovation to the Microsoft Fabric platform at Microsoft Ignite this year. Join us from November 19 through November 21, 2024 either in person in Chicago or online. You will see firsthand the latest solutions and capabilities across all of Microsoft and connect with experts, community leaders, and partners who can help you modernize and manage your own intelligent apps, safeguard your business and data, accelerate productivity, and so much more. 

Explore additional resources for Microsoft Fabric

If you want to learn more about Microsoft Fabric: 

• Sign up for the Microsoft Fabric free trial.
• Register for the upcoming Microsoft Data and Analytics Forum. 
• View the updated Microsoft Fabric Roadmap.
• Visit the Microsoft Fabric website.
• Join the Fabric community.
• Read other in-depth, technical blogs on the Microsoft Fabric Updates Blog.
• Read additional blogs by industry-leading partners: 
  • Plug and play Databricks Unity Catalog in the Microsoft Fabric data platform and Why Microsoft Fabric is critical for AI-driven enterprises, by Sonata Software, a leading Modernization Engineering company. 
  • Citizen developers can scale work with IT pros like never before with Microsoft Fabric, by iLink Digital, a global provider of next-generation digital transformative solutions. 
  • Significance of version history for Direct Lake semantic models, by Softcrylic, now part of Hexaware Technologies, a global technology and business process services company.  
• Explore the Fabric technical documentation.

The post European Fabric Community Conference 2024: Building an AI-powered data platform appeared first on Microsoft AI Blogs.

Together with our customers and partners, we have established how AI Transformation enriches employee experiences, reinvents customer engagement, reshapes business processes and bends the curve on pragmatic innovation. Our approach to put a Copilot on every desk for every role, identify AI design patterns and build a strong cybersecurity foundation is helping organizations harness AI responsibly, securely and with purpose.

As I looked back on the year, I enjoyed reviewing hundreds of customer and partner examples from around the world that demonstrated how AI Transformation delivered tangible business outcomes and value for their organizations. I am pleased to highlight 20 of those stories that I found to be the most inspirational and illustrative of what we can achieve together.

Audi is taking in-car voice control to the next level by integrating ChatGPT into its MIB 3 infotainment system using Microsoft Azure OpenAI Service, making driving safer and more enjoyable. With this update, Audi’s voice assistant will become even more intuitive, handling complex questions and offering a truly conversational experience for drivers and passengers using natural language. Starting this month, nearly two million Audi models made since 2021 are being upgraded with this generative AI-powered experience, allowing drivers to more easily control infotainment, navigation and air-conditioning systems, as well as ask general knowledge questions.

To help address Taiwan’s chronic shortage of health care workers, Chi Mei Medical Center developed AI copilots built with Microsoft Azure OpenAI Service to help overworked staff lighten their workloads while ensuring patient safety. With copilots implemented throughout its operations and at multiple patient touchpoints, medical center staff are seeing impressive results. Doctors now spend 15 minutes instead of an hour writing medical reports, and nurses can document patient information in under 5 minutes per patient instead of 10 to 20 minutes. Pharmacists are now able to double the number of patients they see per day — from 15 to 30 — by leveraging a copilot for comprehensive clinical summaries across multiple databases. By bending the curve on innovation and deploying these copilots, staff have more time to focus on patient care and outcomes, while reducing burnout and stress.

Coles, a leading Australian supermarket chain, is transforming the retail experience by leveraging AI to deepen its relationships with shoppers and improve efficiency in its stores. Coles has deployed AI models that predict the flow of 20,000 stock keeping units to 850 stores with remarkable accuracy. They are now generating 1.6 billion predictions daily, ensuring every shopper finds exactly what they are looking for when they need it. Using an AI model, Coles is also reinventing customer engagement by identifying customer patterns to provide its more than 4 million loyalty club customers with bespoke product recommendations weekly. The company is also utilizing Microsoft Azure Stack HCI and NVIDIA’s A16 GPUs to streamline checkout processes, enhance queue monitoring and elevate customer satisfaction by significantly reducing wait times.

In its quest to transform aquaculture in Indonesia, eFishery harnessed the power of Microsoft Azure OpenAI Service to create Mas Ahya, a generative AI assistant available through a mobile application. Mas Ahya equips farmers with aquaculture expertise right at their fingertips, enabling them to monitor water quality, estimate market prices and manage feeding schedules effectively. It also offers real-time insights and recommendations to maintain ideal pond conditions for more precise feeding — shortening the time from fry to market size fish from four to three-and-a-half months. By utilizing this AI assistant for queries on a range of topics — from plankton levels to remedies for diseases or bacteria affecting their stock — farmers have seen shrimp survival rates soar from 60% to 90%, further boosting their shrimp export capacity.

EY is using Copilot for Microsoft 365 to help clients adopt an AI-powered approach to tackle their unique tax, finance and operational challenges; boost efficiency; and get more value from their data. Reconciling and combining large amounts of data faster and more accurately is a game changer for Finance and Tax, driving a differentiated experience and opportunity to deliver these capabilities through EY’s core platforms and solutions. The ability to apply Copilot to vast swaths of data to develop insights helps drive smarter decision-making across the business. For example, EY professionals are seeing productivity gains of up to 14 hours per week using an AI digital assistant to automate routine tasks, freeing up time for more strategic work. The initial rollout of Copilot was so positive that EY is now scaling it to 150,000 of its employees and helping clients drive their own transformations using EY’s Customer Zero copilot accelerators.

Global design, engineering and environmental services leader GHD is leveraging Copilot for Microsoft 365 to enrich the employee experience and transform its operations to help tackle some of the world’s most complex design and engineering challenges for its clients. GHD employees can now respond to client requests more quickly by using Copilot, reducing the time spent reviewing new requests for proposals from hours to just 15 minutes. More broadly, a recent survey of Copilot users at GHD revealed that 41% are saving time in their workday, with 29% saving more than 30 minutes and 12% saving more than an hour. Additionally, 75% of users feel more efficient and 45% find their work more rewarding when using Copilot.

Hanover Research faced the challenge of efficiently processing vast amounts of data to deliver timely insights to its clients. To tackle this, the custom market research and analytics provider partnered with Neudesic to create the Hanover Intelligent Virtual Engine (HIVE), a customized AI-powered research tool using Azure OpenAI Service that eliminates the need for analysts to manually comb through its vast repository of documents. HIVE helps analysts identify insights up to 10 times faster and creates more opportunities to provide clients with information that would otherwise be buried in data and unavailable. By leveraging Azure AI capabilities to reshape business processes, Hanover has significantly boosted its research efficiency, enabling it to provide more accurate and timely data-driven insights to its clients.

Lumen Technologies was among the first companies to invest broadly in Copilot, making Copilot for Microsoft 365 available last August. Since then, the company has expanded its use of Microsoft Copilot across its organization to empower its people by simplifying workflows and inspiring a forward-thinking mindset. Today, Copilot for Sales is saving its 3,000-plus sellers an average of four hours a week, equating to $50 million annually. Sellers can now spend more time with customers, improve their work-life balance and fundamentally change the way they work.

As an integrated risk assessment firm operating globally, Moody’s Corporation has harnessed the power of AI through Azure OpenAI Service, Microsoft Fabric and Microsoft Teams to significantly enhance productivity and insights. Through our co-innovation efforts, we built an internal tool — Moody’s Copilot — that enables employees to quickly synthesize vast amounts of research and data, and 94% of users reported increased productivity. Additionally, the launch of Moody’s Research Assistant allows customers to generate new insights from extensive credit research, data and analytics, potentially saving users over 25% of their time on typical financial analyst tasks.

OCBC bank is empowering its global workforce with generative AI-powered solutions to boost productivity and enhance customer engagement. Built upon Azure OpenAI, the bank developed a digital assistant for use within a secure and controlled Microsoft Teams environment to help employees in their daily work across customer service, research, product management and marketing roles. Since using the tool, employees have reduced time spent on tasks such as writing, research, translation and ideation by approximately 50%, with 72% of team members reporting significant improvements in their day-to-day productivity and more time to focus on customers.

As one of the largest combined natural gas and electric companies in the U.S., Pacific Gas & Electric Company (PG&E) had an ambitious goal to reshape its business processes by automating low-value tasks and rededicating employees to focus on high-value work. By implementing Microsoft Power Platform solutions, its Digital Creators and citizen developers created new business solutions, saving nearly 527,000 hours and generating approximately $75 million in savings annually. Using Microsoft Copilot Studio, the company also built a digital assistant that fulfills 25% to 40% of help desk demands, significantly optimizing agent workloads and providing sizeable labor savings and service-level improvements — saving teams 840 hours and the company more than $1.1 million per year.

As a leading insurance and reinsurance company in Peru — and one of the largest in Latin America — Pacífico Seguros partnered with TC1 Labs and leveraged Microsoft AI, Microsoft 365 and Azure AI solutions to reshape business processes, improve data management and enhance customer interactions. Pacífico Seguros reported a 40% increase in operational efficiency and a 30% reduction in response times to customer inquiries. It also implemented Microsoft Copilot for Security with a Zero Trust approach, drastically boosting responses to cyber threats and delivering ongoing protection of critical systems and data. This AI Transformation has improved service quality and enhanced security across its business.

Paysafe, a leader in specialized payments, supports 260 payment types in more than 40 currencies and enables seamless transactions for businesses and consumers worldwide. By leveraging Copilot for Microsoft 365 the company has transformed its operations to ensure secure and efficient processing across different payment methods. Paysafe uses Copilot to address the challenges of a diverse and multilingual global workforce, using it to translate everything into various languages — document policies, standard operating procedures and meetings — to save both time and money. Compared to preparing documentation from scratch or searching for information manually, Paysafe’s IT team saves between 10% and 50% of their time with Copilot.

Fintech company Saphyre creates real-time client account reconciliation and management solutions for institutional parties involved in financial trading. The company is using Microsoft Azure to provide intelligent, cloud-based solutions that automate and streamline complex financial trading workflows and modernize time-consuming processes efficiently and securely. Using Azure AI, Saphyre built a solution that helped clients reduce manual paperwork by 75%. It is also sharing data more securely using Microsoft security products so clients can be ready to trade three to five times faster compared to manual onboarding. This results in increased revenue opportunities for clients by completing trades more quickly and at better prices.

Softchoice has partnered with Microsoft to help companies drive efficiencies, reinvent customer engagement and address cybersecurity threats. By implementing Copilot for Microsoft 365, Softchoice has achieved significant productivity gains, reducing time spent summarizing technical meetings by 97%, creating internal training modules by 70% and developing customer-facing technical content by 62% to 67%. With Microsoft Copilot for Security built into daily dashboards, the company’s analysts are saving 20% to 30% of their time summarizing pertinent information needed to execute tasks. Analysts can more quickly determine if failed sign-ins are routine or accidental, saving 20-30 minutes each morning and freeing up time to focus on those that require more in-depth analysis. Security incidents can now be audited faster, reducing the time and resources needed to manually review by 50% and improving efficiency by 30% to 40%.

TomTom, a global leader in mapping and navigation technology, faced the challenge of a fragmented development process with too much time spent navigating multiple tools. By centralizing on the GitHub platform and integrating GitHub Copilot into its development processes, TomTom has streamlined workflows to deliver products to customers more quickly than ever. Additionally, 85% of developers report feeling more productive and 70% feel they can focus on more satisfying work by reducing cognitive workloads and enhancing collaboration among development teams.

Australia’s Torrens University set a goal to transform its digital learning environment to deliver a superior online student experience. It developed MyLearn — a modern online platform built with Azure OpenAI Service — to provide a consistent and convenient learning environment for students anytime, anywhere. By leveraging generative AI, the university has standardized and improved course curriculums, saving an impressive 20,000 hours and $2.4 million Australian dollars in time and resources. This AI-driven approach not only streamlined its digital learning environment but also set the stage for future savings and agile curriculum updates, creating a more engaging and efficient educational experience for students.

Unilever, a global leader in consumer products across over 190 countries, is working with Microsoft to revolutionize scientific discovery and positively impact the 3.4 billion people it serves daily. With Copilot and the advanced simulation capabilities of Azure Quantum Elements, Unilever can query scientific information using natural language, performing thousands of computational simulations in the time it would take to run tens of laboratory experiments. This technological leap, combined with its vast repository of proprietary data and a century of expertise in personal and household care, enables Unilever’s scientists to lead the industry in developing the next generation of eco-friendly household and personal products through sustainable product development.

As a leading provider of workplace benefits and services, Unum Group set out to enrich the employee experience by modernizing the manual and time-consuming process of retrieving policy information for inquiries from its client support center. With Azure OpenAI Service, the company developed an application that searches 1.3 terabytes of data with 95% accuracy, cutting response times to four to five seconds and significantly improving efficiency and customer satisfaction. The AI-generated results address 75% of contract-related questions, freeing up employee time for personalized solutions and interactions with clients. Employees trust the tool and feel it has improved their jobs, and now more than 90% of support center employees are using it.

Visma develops and tests software for over 1.8 million customers across Europe and Latin America through its 188 individual companies. Facing high inflation and tight labor markets, it turned to Microsoft AI technologies such as Azure OpenAI Service, Semantic Kernel and Azure AI Search to securely boost efficiency and customer satisfaction across its companies — each with their own customers and domain. Visma developers are using GitHub Copilot to streamline development processes, automate workflows and enhance collaboration. As a result, it has reported up to 50% reduction in development times. GitHub Copilot has also helped Visma developers unleash their creativity and bend the curve on innovation; the company has seen a marked increase in innovation since adopting the solution, even among those who have been working on the same code for 30 years.

Our mission has never been clearer: to empower every person and every organization on the planet to achieve more. We remain committed to democratizing intelligence and unlocking AI opportunities industry by industry in the year ahead by bringing Copilot to life on every device and across every role. We are focused on our co-innovation efforts to identify AI design patterns that will enable our customers and partners to build out their AI innovation environments. We are committed to helping you fortify your cybersecurity foundation by prioritizing security above all else — securing our products by design, by default and within our own operations as part of our Secure Future Initiative. As we continue leading in AI Transformation, we remain rooted in the fact we are at our best when we serve others, and I look forward to what we will accomplish together in the year ahead as your trusted cloud and AI partner.

The post Looking back on FY24: from Copilots empowering human achievement to leading AI Transformation appeared first on Microsoft AI Blogs.

The upcoming European Microsoft Fabric Community Conference 2024 in Stockholm, Sweden is not just an event—it’s a beacon for Microsoft partners who are steering the future of AI and analytics. The conference, set to take place from September 24 to 27, 2024, is a pivotal gathering for those at the forefront of deploying and adopting Microsoft Fabric’s transformative technologies.  

Stockholm, the heart of Scandinavian innovation, is the perfect backdrop for the Fabric Community Conference. Known for its vibrant tech scene and forward-thinking approach, Stockholm embodies the spirit of progress that Microsoft and its partners strive for. 

European Microsoft Fabric Community Conference 2024

A brand-new conference dedicated to Fabric

Register today

What to expect at the European Microsoft Fabric Community Conference 2024

Expect to be wowed. You’ll hear from leading Microsoft and community experts from around the world covering topics ranging from Retrieval-Augmented Generation (RAG) pattern applications and semantic modeling, to data governance and sustainability, to integrating applications into the Fabric framework. And if that isn’t enough, you’ll get to experience the latest features from Fabric, Power BI, Azure Databases, Azure AI, Microsoft Purview, and more, demonstrating how Fabric serves as a unified platform that empowers both data and business professionals across all industries.   

And as a prelude to the main conference, we invite you to a special Partner Pre-Day—day dedicated to you, our partners, to ensure you’re equipped with the knowledge and connections to thrive. See more details below.

We’ve also planned a few other activities to connect with the community: 

• Partner happy hour: Network with the Fabric leadership and product team. An invaluable opportunity to connect with the team bringing you Fabric.
• One-on-one partner executive connections: Meet with our executives and Fabric partner team to discuss your priorities and needs and gain a better understanding of partner motions and resources.
• Partner-to-partner connection: Connect with other partners to discuss joint business opportunities and share learnings. 

What’s in it for Microsoft partners 

For Microsoft partners, the conference is more than just a learning experience; it represents an amazing chance for partners to forge deeper connections with the minds behind the technology, to engage with customers eager to leverage your expertise to grow their business, and to network with peers and other partners who are equally passionate about driving adoption of these amazing technologies. Are you excited yet? 

And of course, let’s not forget the Partner Pre-Day, an invaluable opportunity for partners to delve into the latest Microsoft partner initiatives, resources, and strategies for focusing on how Microsoft Fabric drives business growth and innovation. 

Here’s a sneak peek into the Partner Pre-Day: 

• Get inspired: Attend Ask Me Anything sessions with top Microsoft data, AI, and analytics leadership and this year’s Partner of the Year Award winners.
• Learn: Gain insights on how best to take advantage of partner-only offerings and incentives, access to resources, and deep technical skilling customized for our Microsoft AI Cloud Partner Program ecosystem.
• Share: Meet one-on-one with Microsoft executives and the Microsoft partner team to share what’s on your mind.
• Connect: Forge new relationships and strengthen existing ones with your partner peers for joint business outcomes.  

If you’re as excited about the Fabric Conference in Stockholm as we are, you’ll want to stay connected for all the latest updates. Be sure to follow the event on Microsoft’s partner social media channels on LinkedIn, Fabric YouTube, and the Fabric Tech Community Blog. These platforms are your go-to for live updates, exclusive behind-the-scenes content, and a chance to network with fellow innovators before, during, and after the conference. 

And hey, while you’re at it, why not join the Fabric Partner Community? It’s a fantastic way to get involved with weekly engineering calls where you can dive deep into the tech, ask questions, and share your insights. It’s like having a backstage pass to the world of Microsoft Fabric.

Now let’s make some noise—take these next steps

• Register for the Fabric Conference today. By registering early for the 3-day pass, you can take advantage of an exclusive €200 off discount using the code MSCUST.
• Check out sponsorship opportunities.
• And of course, share this blog post with your network to start those pre-conference discussions online.

Start your Fabric journey today

Check out these additional resources to learn more about Fabric and prepare your organization for the next phase of your Fabric journey. 

• Read this blog to learn how to enable your organization to help customers prepare their data for AI innovation with Microsoft Fabric.
• Check out the new Fabric certification and Fabric Career Hub to get your team upskilled and let customers know you’re Fabric certified.
• Join the Fabric Partner Community on Microsoft Teams, where you can attend the Fabric Engineering Connection (our weekly partner community calls with product engineering), stay connected with other partners, and learn of the latest resources, opportunities, and more.
• Visit Azure Migrate and Modernize and Azure Innovate to learn more about Azure Innovate, our hero partner offering, and to access resources and funding for customer projects. 

Let’s get the buzz going and show the world what the Microsoft partner community is all about. 

I can’t wait to see you all in Stockholm, Sweden for an unforgettable experience. Let’s innovate, collaborate, and grow together!

Microsoft Fabric

Bring your data into the era of AI

Discover what’s possible

In partnership with Microsoft, the European Microsoft Fabric Community Conference is brought to you by the team behind ESPC, Europe’s premier Microsoft 365 Conference and the European Power Platform Conference. 

The post Empowering partnerships: The Microsoft Fabric Conference—your gateway to AI innovation appeared first on Microsoft AI Blogs.