Webinar Series: The Intelligent Data Warehouse
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Build with the Nerds
Imagine truly interacting with your data
Join our 4-part live webinar series and discover how Microsoft Fabric turns real-world data into valuable business insights.
Follow along with hands-on demos using NYC taxi ride data as we guide you through building a data warehouse, creating conversational AI, optimizing performance, and deploying predictive machine learning models.
Overview:
Over four sessions, you’ll learn how to get the most out of Microsoft Fabric by combining structured data, Copilot Studio, and machine learning into one intelligent data pipeline. Each webinar builds on the last, so by the end, you’ll be ready to transform your own data into smarter decisions and predictions.
What You’ll Learn:
- Supercharge your Fabric Data Warehouse with AI
- Build chatbots in Copilot Studio - no SQL needed
- Turbo-tune models for speed and accuracy
- Deploy ML to predict real outcomes
- Bring insights to life with Power BI
Schedule For The Event
All Sessions 1 PM EDT (UTC -4)
October 6, 2025
Kick off the series by diving into Microsoft Fabric’s capabilities for working with structured data. Using NYC taxi ride and route data, we’ll explore how to prepare, connect, and analyze your own data warehouse with built-in AI tools. You can learn hands-on with us with everything we’ll use in the Fabric Data Warehouse.
Fabric Foundations: Unleashing AI on Your Fabric Data Warehouse
Kick off the series by diving into Microsoft Fabric’s capabilities for working with structured data. Using NYC taxi ride and route data, we’ll explore how to prepare, connect, and analyze your own data warehouse with built-in AI tools. You can learn hands-on with us with everything we’ll use in the Fabric Data Warehouse.
What You’ll Learn:
- Installing the sample data warehouse in Microsoft Fabric
- Setting up your own data warehouse for AI readiness
- Using Fabric’s built-in Data Agents feature to converse with your data
- Real-world examples: peak ride times, fare anomalies, and route clustering
October 7, 2025
Learn how to build intuitive, conversational interfaces using Copilot Studio to query your Fabric data warehouse. You’ll learn how to empower users to ask natural-language questions and get meaningful answers—no SQL required.
Conversational Intelligence: Asking Smarter Questions with Copilot Studio
Learn how to build intuitive, conversational interfaces using Copilot Studio to query your Fabric data warehouse. You’ll learn how to empower users to ask natural-language questions and get meaningful answers—no SQL required.
What You’ll Learn:
- Connecting Copilot Studio to your Fabric data warehouse data agents
- Designing user-friendly prompts and flows
- Handling ambiguity and refining responses
- Deploying the agent to Teams and Copilot Chat in M365 for user consumption
- Use case: “Which routes had the longest delays last Friday?”
October 8, 2025
Now that your AI and Copilot experiences are live, it’s time to tune. This session focuses on optimizing query performance, refining data models, and improving Copilot responses for accuracy and speed.
Tuning for Truth: Optimizing Performance and Accuracy in Fabric
Now that your AI and Copilot experiences are live, it’s time to tune. This session focuses on optimizing query performance, refining data models, and improving Copilot responses for accuracy and speed.
What You’ll Learn:
- Working with the AI instructions to build better understanding of your data
- Enhancing models for better Copilot answers
- Monitoring and debugging Copilot flows
- Tuning copilot to make better decisions
- Use case: speeding up response time for high-volume route queries
October 9, 2025
In this final session, we’ll move from analysis to prediction. Learn how to build and deploy machine learning models using Microsoft’s integrated tools—forecasting ride demand, predicting fare amounts, and uncovering hidden patterns in NYC taxi data.
Predictive Power: Machine Learning with NYC Taxi Data in Microsoft Fabric
In this final session, we’ll move from analysis to prediction. Learn how to build and deploy machine learning models using Microsoft’s integrated tools—forecasting ride demand, predicting fare amounts, and uncovering hidden patterns in NYC taxi data.
What You’ll Learn:
- How to prep and engineer features from taxi ride data
- Building ML models with Azure Machine Learning and integrating with Fabric
- Training and evaluating models (e.g., fare prediction, route optimization)
- Deploying models and visualizing predictions in Power BI
*Schedule is tentative and subject to change.