{"id":1760,"date":"2024-10-09T08:00:00","date_gmt":"2024-10-09T15:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\/blog\/?p=1760"},"modified":"2024-11-17T09:31:56","modified_gmt":"2024-11-17T17:31:56","slug":"navigate-the-data-and-ai-landscape-by-joining-us-at-the-microsoft-data-and-analytics-forum","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/microsoft-fabric\/blog\/2024\/10\/09\/navigate-the-data-and-ai-landscape-by-joining-us-at-the-microsoft-data-and-analytics-forum\/","title":{"rendered":"Navigate the data and AI landscape by joining us at the Microsoft Data and Analytics Forum"},"content":{"rendered":"\n

The future of AI is here. From easy-to-use copilot experiences that come out-of-the-box to custom generative AI solutions made in Azure AI Studio, every organization is exploring how they can take advantage of AI. And most believe they will be successful\u2014with 87% of organizations believing AI will give them a competitive edge1<\/sup>.<\/p>\n\n\n\n

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\u2014not an ideal place to start your AI innovation.<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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<\/a> on October 30th<\/sup>, 2024. The event is online only and free to attend. <\/p>\n\n\n\n

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Microsoft Data and Analytics Forum: Register Now<\/a><\/div>\n<\/div>\n\n\n\n

A digital event designed for data leaders <\/h2>\n\n\n
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Microsoft Data and Analytics Forum<\/h2>\n\n\t\t\t\t\t
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Learn how you can prepare your data and analytics for game-changing AI innovations.<\/p>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t\t\t\t\t\t\t

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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. <\/p>\n\n\n\n

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: <\/p>\n\n\n\n