Call for Speakers

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in 4 months

EdmData Meetup – Edmonton Microsoft Data Professionals User Group 2025

planned future dates

15 Sep 2025, 20 Oct 2025

location

Edmonton, Canada


The Edmonton Microsoft Data Professionals User Group is a not-for-profit association that organizes events to promote knowledge sharing, to exchange ideas, and to unite Edmonton's SQL server and Azure Data professionals. Previously known as EDMPASS.

We welcome all IT professional's who work with and and are interested in learning about the Microsoft Data Platform and networking with other like minded individuals.

opens in 11 days
Call for Speakers
Call opens at 12:00 AM

01 Jun 2025

Call closes at 11:59 PM

15 Aug 2025

Call closes in Mountain Daylight Time (UTC-06:00) timezone.
Closing time in your timezone () is .

EdmData (Edmonton Microsoft Data Professionals User Group) is a not-for-profit community focused on sharing knowledge and building connections across the Microsoft Data & AI ecosystem.

We host monthly events to help professionals learn, grow, and stay connected around  Microsoft Fabric, Azure Databricks, Microsoft Purview and OpenAI.


🗓️ Event Details: 

  • Held monthly, typically on a Monday
  • Sessions start at 12:00 PM Mountain Time (MT)
  • Each session runs 45–60 minutes, including Q&A
  • Sessions are primarily in-person, with virtual attendance options.


🎤 Why Speak at EdmData?

Speaking at EdmData is a great way to: 

  • Share your expertise with a growing community of data and AI professionals.
  • Expand your network with peers, Microsoft MVPs, and industry leaders.
  • Inspire others through your experience.
  • Strengthen your public speaking and thought leadership presence.

Whether you're a seasoned speaker or sharing for the first time, we’d love to hear from you.


💡Suggested Topics:

  • Azure Data Platform (Fabric, Synapse Analytics, Azure SQL, Cosmos DB, Data Lake)
  • Power BI & Visualization (Modeling, DAX, Embedded, Governance)
  • Databricks (Delta Lake, Unity Catalog, Spark, MLflow)
  • AI & ML (Azure ML, OpenAI, Cognitive Services, Real-world RAG demos)
  • Governance, DataOps & MLOps (Purview, CI/CD, Quality, Security, Metadata)
  • Applied Gen AI (Copilot integrations, LangChain, LLMOps, Use cases)