Thursday, January 15, 2026
Today, businesses generate massive volumes of data across systems, cloud platforms, and applications. However, turning that raw data into actionable insights often remains slow, costly, and resource-intensive. As a result, data teams spend a significant portion of their time cleaning, transforming, and organizing data rather than extracting value from it. To address this challenge, Osmos applies agentic AI to automatically convert raw data into analytics- and AI-ready assets stored in OneLake, the unified data lake that sits at the heart of Microsoft Fabric.
By integrating Osmos into Fabric, Microsoft plans to extend its vision of unifying data engineering, analytics, and AI workloads on a single secure platform. More importantly, this move supports Microsoft’s broader goal of enabling autonomous AI agents to work alongside human teams. These intelligent agents can take on repetitive, time-consuming tasks such as data ingestion, transformation, and preparation, while people focus on higher-value analysis and innovation.
Furthermore, this acquisition represents a significant step toward reducing operational complexity for enterprises. Instead of stitching together multiple tools and pipelines, organizations can now rely on Fabric’s growing ecosystem to connect, prepare, analyze, and share data more efficiently across departments. Consequently, teams gain faster access to reliable data, which helps improve collaboration, reporting accuracy, and AI model performance.
Looking ahead, Microsoft emphasized that the Osmos team will join the Fabric engineering organization. Together, they will work on advancing more intuitive, AI-driven data experiences that shorten the time from data collection to business insight. As Microsoft continues to invest in intelligent automation, the integration of Osmos is expected to enhance Fabric’s ability to deliver self-optimizing data workflows at enterprise scale.
In addition, this move reinforces Microsoft’s long-term commitment to helping organizations unlock value from data with greater speed and simplicity. By embedding agentic AI directly into data engineering processes, Microsoft aims to remove traditional bottlenecks that slow digital transformation initiatives.
Microsoft also encouraged customers and partners to stay tuned for further updates as Osmos capabilities are gradually integrated into Fabric. Ongoing enhancements will be shared through the Microsoft Fabric Blog as the platform evolves to support more autonomous, AI-ready analytics environments.
Bogdan Crivat leads Microsoft’s Azure Data Analytics, building the Fabric engines for big data behind Power BI, and our AI-powered analytics infrastructure.
Overall, the acquisition of Osmos strengthens Microsoft Fabric’s position as an end-to-end data and analytics platform while accelerating the shift toward autonomous data engineering powered by agentic AI. As organizations seek faster insights and lower operational costs, this integration could play a key role in shaping the future of enterprise data management.
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