Portland Fabric User Group Virtual Meetup

How to Improve ROI of Generative AI Projects Using AIOps in Microsoft Fabric

Generative AI holds transformative potential for businesses, but its promise often comes with challenges related to operational complexity, scalability, and cost management. A general concern for companies is that up to 70% of AI and ML models do not make it to production for various reasons. One major reason is effective implementation strategies and the associated change management.

AI/LLM/MLOps offers a strategic approach to address these challenges, enabling organizations to maximize the ROI on their generative AI investments. In this session, we explore how Microsoft Fabric, in conjunction with Azure DevOps, empowers businesses to operationalize generative AI solutions effectively.

Microsoft Fabric serves as the foundation, offering an integrated data and AI platform to unify data pipelines, models, and analytics workflows. Azure DevOps facilitates continuous integration and deployment (CI/CD) pipelines for generative AI models, ensuring seamless updates and rapid iteration cycles.

Attendees will learn practical strategies to implement AIOps principles, such as automating model retraining and deployment, monitoring model drift, and optimizing cost-performance trade-offs using Fabric’s unified compute and storage. Use cases will highlight how businesses have improved decision-making, and streamlined operations through these integrated technologies. This session equips participants with actionable insights to turn generative AI into a scalable and profitable asset for their organization.