A Generated Report: How AI can make Dashboards - with Injae Park

LIVESTREAM DATE/TIME 📅

January 9th 2026 — 9:30AM (Pacific Time)

DESCRIPTION 📄

This session explores how AI can be applied to the creation and modification of Power BI visuals, focusing on the different levels at which AI tools can interact with reports and models. The session looks at emerging patterns in how AI is being used across the Power BI development lifecycle, and where each approach is most effective.

We Will Cover

• Using web-based LLMs for fast iteration, ideation, and visual exploration

• Using MCP-style setups to interact with and modify the semantic model

• The trade-offs between speed, control, and reliability across these approaches

• How to choose the right level of AI involvement for different scenarios

This will be a discussion of a few examples of how the technology is moving at a rapid pace, and how that will affect and enable Power BI Developers

GUEST BIO 👤

Injae Park is a Microsoft Data Platform MVP who combines his technical expertise with a passion for teaching by sharing his insights and practical tips through his YouTube channel @PowerBIPark. Injae's content ranges from beginner tutorials to advanced techniques, and as part of the Power BI Core Visual Representatives - he aims to bridge the MS Developer team with the Power BI community. His education in psychology and economics as well as his experience in consulting gives him a well-rounded perspective on the Power BI Developer experience, making his tutorials both engaging and accessible.

RELATED CONTENT 🔗

Injae's Website
Injae's LinkedIn
Injae's YouTube

Fabric Data Agents & Beyond - with Mathias Halkjær

LIVESTREAM DATE/TIME 📅

December 12th, 9:30 AM (Pacific Time)

DESCRIPTION 📄

In the era of AI, the ability to quickly and easily draw insights and answers from our data, is as important than ever, and being able to ask those questions in plain human language.In this session we'll uncover the capabilities of Microsoft Fabric Data Agents, what they are, how they work, and more. We’ll also explore bringing data agents to light outside of Fabric, opening up a whole new world of data utilization.

We'll touch upon topics like the data modelling for AI, data agents, prompt context, MCPs,After watching the livestream, you’ll be able to leverage your data with AI agents inside and outside of Fabric, and you be up to date on the newest tool for AI-powered BI, and ready to advice clients or colleagues on how to use AI with Power BI and Fabric.

GUEST BIO 👤

Mathias is a dedicated data leader with a deep commitment to the intersection of data engineering, BI, AI, and modern data platforms.

Day to day, he helps enterprises elevate their data maturity, implement scalable data platform solutions, and ultimately realize greater value from their data and AI investments.

As a Microsoft Data Platform MVP, Mathias is highly engaged in the global community and is driven by a strong belief in sharing knowledge that empowers others.

With a background in Product Development and Innovation, he brings a distinct data product mindset to data architecture, combining strategic vision with practical execution. Known for his willingness to challenge convention, Mathias pushes past traditional thinking to uncover more effective, forward-looking solutions.

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Mathias's LinkedIn

The Invisible Tooltip Trick: How to Hide SVG and URL Tooltips in Power BI Tables

Video by: Reid Havens

Power BI insists on showing raw SVG or URL text when you hover over icons in tables, which makes everything look like a crime scene. This quick technique uses a tiny, blank report-page tooltip to override Power BI’s default behavior, effectively “disabling” tooltips for SVGs and URLs without breaking interactivity. It’s fast, reliable, and doesn’t require DAX sorcery or custom visuals.

This One Change Made My Time-Intelligence [DAX] Performance Faster!

Video by: Reid Havens

Microsoft's new calendar-based time intelligence isn't magic, but it's a necessary optimization for every new model (and existing ones with performance issues).

The Results:
✅ Simplified query plans
✅ Fewer rows scanned by Storage Engine (SE)
✅ Same DAX, better syntax

The performance gains come from smarter query optimization. If you're working with large fact tables and time-based calculations, this is how the engine should be working.

What I cover:

• How calendar-based functions optimize the storage engine

• DAX Studio query plan comparison (side-by-side)

• Setting up calendar categories in Power BI

• Migrating from classic DATEADD to calendar-based syntax

• FREE Power BI Calendar Template (PBIX)

RELATED CONTENT 🔗

Calendar Template
Livestream - PBI Calendar Overhaul: Calendar-Based Time Intelligence (with Jeroen [Jay] ter Heerdt)
Calendar-based time intelligence
Microsoft Blog Announcement
Introducing calendar-based time intelligence in DAX