On-Demand Webinar
Build Real-Time AI Agents with Databricks
Transform Streaming Data into Instant Decisions with LakeFlow, Mosaic AI & MLflow 3.0
In today’s high-stakes environments—cybersecurity, fraud, operations—delayed insights mean missed opportunities or growing risk. That’s why leading teams are turning to AI agents that think and act in real time.
Watch this on-demand webinar where Royal Cyber Databricks experts will show you how to use LakeFlow Designer, MLflow 3.0, and Mosaic AI Agent Bricks to build scalable, intelligent pipelines that turn streaming data into actionable insights—instantly.
You’ll learn how to visually orchestrate real-time data flows, detect anomalies as they happen, and build GenAI agents that summarize events and recommend next steps—all natively on the Lakehouse.
Key Takeaways:
- Learn how to build real-time data pipelines with LakeFlow Designer
- Deploy and monitor live anomaly detection models with MLflow 3.0
- Create GenAI agents using Mosaic AI Agent Bricks for enriched, intelligent insights
- Explore use cases across cybersecurity, finance, manufacturing, IoT, and more
- Understand how to scale with the Lakehouse AI architecture
Agenda
- Why Real-Time AI Agents Are Changing the Game
- Building Streaming Pipelines with LakeFlow Designer
- Detecting Anomalies Using MLflow 3.0
- Summarizing & Recommending with Mosaic AI Agent Bricks
- Cross-Industry Architectures & Deployment Best Practices
- Live Q&A
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Speakers
Zeeshan Arif
Practice Lead - Data Engineering
Muhammad Tayyab
ML Engineer - Data Science