Call for Speakers

Power BI Days DC 2026

Call for Speakers is closed. Submissions are no longer possible. Sorry.
in 48 days

Power BI Days DC 2026

event starts

11 Jun 2026

event ends

12 Jun 2026

location

Microsoft Arlington, Virginia, United States

website

powerbidc.org


Power BI Days is a free in-person conference by the community and for the community.

This is THE place in Washington DC to learn about Power BI, share your Power BI experience and get to know other people.

The conference is organized by the Power BI DC User Group.

During the Power BI Days you'll be able to learn from the experience that other community members have in a wide variety of topics.

  • Build and design reports, dashboards, and apps
  • Explore, shape and model your data
  • Administration and governance
  • Data science and custom development

finished 8 days ago
Call for Speakers
Call opens at 12:00 AM

29 Jan 2026

Call closes at 11:59 PM

15 Apr 2026

Call closes in Eastern Daylight Time (UTC-04:00) timezone.
Closing time in your timezone () is .

Power BI Days is a free in-person conference by the community and for the community.

This is THE place in Washington DC to learn about Power BI, share your Power BI experience and get to know other people.

The conference is organized by the Power BI DC User Group.

During the Power BI Days you'll be able to learn from the experience that other community members have in a wide variety of topics.

  • Build and design reports, dashboards, and apps
  • Explore, shape and model your data
  • Administration and governance
  • Data science and custom development

Please note - this conference is tailored for learning about Power BI and Microsoft Fabric. We welcome sessions that are directly related to development, governance, administration, ways of working, CoP etc. that can be applied as a developer or leader of teams working with Power BI and Microsoft Fabric. Adjacent sessions should have a connection to the primary topic area. 

For example, a session on starting a Power BI User group or on leading development teams working with Fabric are appropriate, but general leadership topics are less in-demand with this audience. If you are in doubt, feel free to submit the session. 


all submitted sessions

publicly listed on this page
84 submissions
Submitted sessions
Anthony Carter
  • From Dashboard to Action: Turning Power BI Insights into Real-World Execution
  • Speed to Lead: Using Power BI to Capture the 30–50% of Revenue You’re Losing
  • From Insight to Action: Building an AI-Driven Execution Layer on Top of Power BI
  • Your Power BI Dashboard Isn’t Making You Money ,Here’s How to Fix It
Donald Parish
  • Semantic Table: lessons from History, a proposal for the Future
John Sly
  • Bridging Legacy Apps and Modern Data in Healthcare: Bringing Structure to the Chaos
  • Building a Productive and Happy Team: From Clear Communication to Consistent Action
Michael Heath
  • Agents That Play Well Together
Heather Severino
  • Battle of the Notes: OneNote vs. Loop
  • What's New in New Outlook
  • Reimagining Task Management: What's New in Microsoft Planner
  • Learn What's New with Microsoft 365 Copilot (and Agents)
  • What's New with Microsoft 365
Thanigaivel Rangasamy
  • From SDLC to Agentic PDLC: Building Self-Optimizing Data Systems
  • AI-Driven QA: Predictive Analytics for Intelligent Testing
Belinda Allen
  • Model Smart, Perform Fast: Power BI Data Modeling for Performance & AI Readiness
  • From Data to Decisions: Mastering Storytelling in Power BI
  • From Insights to Foresight: Forecasting with Python in Power BI Pro
  • From Wild West to Well-Run: An Introduction to Power BI Governance
Blake Beckemeyer
  • Mastering Migrations to Dataverse: Data, Documents, and Security
  • DAX/Power Query & Dataverse: Making Power BI Work for Dataverse
  • End-to-End Data in Low Code
Jonathan Stewart
  • Your Warehouse, Your Semantic Model
  • Governance as Code: Triage an Inherited Fabric Tenant
  • Stop Borrowing Contoso: Build Realistic Demo Data for Power BI
John Kerski
  • DataOps 101 – A Better Way to Develop and Deliver Data Analytics
  • Making Your Power BI Teams More Analytic
  • Becoming an AI-Enabled Power BI Tester
  • Leveraging Large Language Models with Power BI
  • What is Power BI Developer Mode?
show all submissions
Allan Khariton
  • Bookmarks & Field Parameters 101
Firdavs Erkinov
  • Architecting for Compliance: Aligning Business Data Needs with IT Security in Microsoft Fabric
Shannon C. Ryan
  • Women in the Room, Future Secured: A Leadership Perspective on 2026 Tech Adoption
  • Tech Trailblazers: Inspiring Stories of Women Innovators
  • The Next Era is Female-Led: Technology Priorities for High-Performance Organizations
Karthikeyan Apparssamy
  • Integrating AI and Real-Time Customer Data for Advanced Analytics in Power BI
Shreya Harvu, Bhargav Patel
  • AI Is Only As Smart as Your Model: Copilot, Data Agents, and the Semantic Layer
Jason Romans
  • Blogging: Lessons I Learned the Hard Way
  • Basics of building a data model in Power BI
  • Semantic Link Labs: The Data Detective’s Toolkit
  • Data on Fire: A Hands-On Intro to Spark in Fabric
  • DuckDB 101: From Desktop to Notebook
Charles Lakes II
  • Let’s Data Model Your App: Microsoft Dataverse 101
Himanshu Goil
  • Civic Agents: The Rise Of AI In Modern Public Service
Dean Jurecic
  • Visual Calculations in Power BI: Introduction and Best Practices
Sujan Kumar Seethamsetty Venkata
  • AI-Driven Security Analytics with Power BI and Microsoft Fabric
Olena Kulish
  • Why Power BI Adoption Fails — and How to Fix It with Governance, UX, and AI-Ready Usage Data
  • Making the Case for Microsoft Fabric: Addressing C-Suite Objections in Analytics
  • AI Readiness in Power BI & Fabric: What Teams Actually Need to Get Started
Eugene Meidinger
  • Getting Started with Vibe Engineering: Playing with Fire
  • Fabric for SQL Server Devs and DBAs
Jim Donahoe
  • Fabric Capacity: WTF is going on!?
Kevin Arnold
  • Introduction to Microsoft Fabric Variable Library: Simplifying CI/CD Automation
  • Beyond Analytics - Using Fabric to Integrate Data across Systems
Hasan Jamal(Jammy) Siddiqui
  • Prompt Engineering for Copilot Agents: Designing Conversations That Think, Act, and Deliver
  • Prompt Engineering for Copilot Agents: Designing Conversations That Think, Act, and Deliver
Ben Chartoff
  • Don't Fear the Repo: Version Control with Git for PBI Reports
  • Beyond Defaults: Custom Deneb Visuals in Power BI
  • Automated Testing for PBI with GitHub Actions
Andrew Boerger
  • Lessons from Fabric in Production
  • Practical AI for Power BI Developers
Mou Rakshit
  • AI-Powered Real-Time Intelligence: Transforming Data-Driven Decisions with Microsoft Fabric & GenAI
Jeffrey Ptak
  • Unifying Disparate POS Systems with Real-Time Analytics: Medallion Architecture in Microsoft Fabric
Justin Martin
  • Eating Our Own Dogfood – How Fabric Engineering Runs on Semantic Models
Jeff Taylor
  • Fabric SQL Database: Simplifying OLTP and Real-Time Analytics
Scott Helmers
  • Embrace neuroscience principles to tell data stories more effectively
  • Hands-on Workshop: Transforming data analytics with Power BI and Visio
  • Solving multi-report navigation challenges in Power BI using bookmarks, filters, and Excel
Michael Fortman
  • Designing Defensive Fabric Notebooks: Contracts and Parameterization for Medallion Architecture
David Patrick
  • Developing Custom Visuals for Power BI
  • Intro to Power BI
  • What is Microsoft Fabric?
Steve Zampino
  • AI Starts with Data: How Power BI, Fabric, and QuickLaunch Analytics Create an AI‑Ready Enterprise
Dominick Raimato
  • Power Query for Citizen Developers
  • Kusto for Beginners
Dominick Raimato, Michael Heath
  • Fabric and Copilot Studio - A Perfect Pair
Dr. Amit Lal
  • Data Noise to Visuals: An End-to-End Power BI Workshop
Rajesh Vayyala
  • One Lake, Many Teams: Designing Microsoft Fabric for Enterprise Self-Service Analytics
  • Power BI Meets Governance: How to Build Trusted Data in Microsoft Fabric
  • Why Your Power BI Reports Slow Down And How to Fix the Architecture Behind Them
Kyle Mueller
  • Where to Start With a Messy Model: A Practical Approach
  • The Case for Semantic Models: The Best Place for your Data to Live
Kevin Pereira
  • SQL in the Fabric Era: Practical Techniques for Modern Data Integration
  • Building a Data Quality Framework in Fabric with Great Expectations