How Microsoft Fabric Accelerates Machine Learning in Manufacturing

Join us for an in-depth exploration of how Microsoft Fabric streamlines AI and machine learning adoption in manufacturing. Just as a hunter gains a clear advantage by scouting frozen terrain in the offseason, manufacturing leaders can leverage Microsoft Fabric’s unified analytics platform to experiment with ML solutions before full-scale deployment.

In this webinar, Brian Haydin, Solutions Architect at Concurrency, will showcase how Fabric’s end-to-end capabilities—including OneLake for centralized data, built-in Apache Spark, and integrated AI/ML frameworks—enable rapid prototyping and deployment of machine learning models. We’ll dive into three real-world manufacturing applications:

• Computer Vision for Quality Control: Automating defect detection with AI-powered vision models.
• Predictive Maintenance: Using sensor data to anticipate equipment failures and reduce downtime.
• Supply Chain Optimization: Enhancing demand forecasting and logistics planning with machine learning.

Discover how Microsoft Fabric simplifies the entire ML lifecycle, from data ingestion to real-time insights with Power BI. Whether you’re exploring AI for the first time or looking to scale existing ML projects, this session will provide actionable insights to help your manufacturing operations thrive.

Register now!