{"id":349,"date":"2023-11-15T08:00:00","date_gmt":"2023-11-15T16:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/?p=349"},"modified":"2025-06-13T06:26:09","modified_gmt":"2025-06-13T13:26:09","slug":"prepare-your-data-for-ai-innovation-with-microsoft-fabric-now-generally-available","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/microsoft-fabric\/blog\/2023\/11\/15\/prepare-your-data-for-ai-innovation-with-microsoft-fabric-now-generally-available\/","title":{"rendered":"Prepare your data for AI innovation with Microsoft Fabric\u2014now generally available"},"content":{"rendered":"\n

Over the past year, we\u2019ve seen generative AI experiences like ChatGPT and Microsoft Copilot take the world by storm. These experiences have the potential to transform how we all work, enabling vast numbers of workers to delegate tasks to AI and lessen their workloads. And now with services like the recently announced Azure AI Studio<\/a>, you can not only access generative AI, but build your own experiences, tailor-made for your use cases.<\/p>\n\n\n\n

Creating custom AI experiences requires data\u2014lots of it. Data is the foundation on which AI is built and the simple fact is AI is only as good as the data it\u2019s based on. As you enter a future built on AI, you need a data estate capable of fueling AI innovation across your organization. This can be a challenging prospect for most organizations whose data environments have grown organically over time with specialized and fragmented solutions.<\/p>\n\n\n\n

That\u2019s why we introduced Microsoft Fabric earlier this year. As Satya Nadella, CEO and Chairman of Microsoft, said at Microsoft Build 2023<\/a>, Fabric is “perhaps the biggest launch of a data product from Microsoft since the launch of SQL Server.\u201d<\/p>\n\n\n\n

Microsoft Fabric<\/a> has caught the imagination of our customers, partners, and community members. Since the preview announcement, 25,000 organizations around the world are already using Fabric today, including 67 percent of the Fortune 500. Most customers appreciate Fabric\u2019s end-to-end value proposition, with 84 percent of companies using three or more workloads. Check out some of the early Fabric success stories with our customers:<\/p>\n\n\n\n

Milliman<\/strong><\/a> <\/p>\n\n\n\n

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\u201cMicrosoft Fabric would have been our choice from the beginning\u2014had it only existed then. Building a democratized data platform was too big of a distraction from our focus on supporting actuaries in managing risk,\u201d<\/em>\u2014<\/em>Tom Peplow, Principal and Senior Director of Technology Strategy for Life Technology Solutions, Milliman. <\/strong><\/p>\n<\/blockquote>\n\n\n\n

Watch Milliman\u2019s transformation with Fabric<\/a>. <\/p>\n\n\n\n

Zeiss<\/strong><\/a> <\/p>\n\n\n\n

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\u201cPreviewing Fabric was a great opportunity to explore features right at the beginning and to think about how we could adopt them in our organization. We soon realized it was the natural evolution for us in our data mesh journey as it provided a complete analytics service in a single offering.<\/em>\u201d\u2014<\/em>Markus Morgner, Head of Enterprise Data Platform and Engineering, ZEISS Group.<\/strong><\/p>\n<\/blockquote>\n\n\n\n

Watch Zeiss\u2019s transformation with Fabric<\/a>.<\/p>\n\n\n\n

Ernst and Young<\/strong><\/a> <\/p>\n\n\n\n

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\u201cIn developing and launching EY Intelligence, Microsoft Fabric has been a game changer. Our unique analytics as a service offering gives the C-suite at our client organizations cross functional transparency and on demand insights to make better and quicker decisions,\u201d<\/em>\u2014<\/em>Swen Gehring, Director, Strategy and Transactions, Ernst and Young.<\/strong><\/p>\n<\/blockquote>\n\n\n\n

Watch Ernst and Young\u2019s transformation with Fabric<\/a>. <\/p>\n\n\n\n

Announcing the general availability of Microsoft Fabric<\/h2>\n\n\n\n

We are thrilled to announce Microsoft Fabric<\/a> is now generally available for purchase<\/a>. Microsoft Fabric can reshape how your teams work with data by bringing everyone together on a single, AI-powered platform built for the era of AI.<\/p>\n\n\n\n

Watch a quick overview: <\/p>\n\n\n\n

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