(Livestream Replay) Communication is the New Code: Beyond Copy/Paste with GPT's (w/ Kurt Buhler)

DESCRIPTION 📄

The landscape of Power BI development is rapidly evolving as AI tools transform how we approach data modeling, DAX development, and report creation. While many professionals are familiar with ChatGPT, the ecosystem of AI assistance has expanded dramatically, offering specialized tools that can revolutionize your Power BI workflow.

In this comprehensive session, we'll explore cutting-edge AI tools that go far beyond basic chatbots:

🤖 Claude Desktop & MCP Servers - Discover how Claude's advanced reasoning capabilities and Model Context Protocol (MCP) servers can provide deeper insights into your data models, suggest optimizations, and help debug complex DAX expressions with unprecedented accuracy.

⚡ GitHub Copilot for Power BI - Learn how this code completion tool adapts to Power BI development, accelerating DAX writing, M queries, and even documentation generation.

🔍 Advanced AI Workflows - See real-world demonstrations of AI-assisted Power BI development, from automated measure generation to intelligent data modeling suggestions.

We'll provide an honest assessment of these tools - the goods (incredible productivity gains), the bads (current limitations), and the uglies (potential pitfalls and over-reliance risks). You'll leave with practical strategies to integrate these AI tools into your daily Power BI development process.

Whether you're a seasoned Power BI developer or just getting started, this session will show you how "communication truly is the new code" in our AI-augmented world.

GUEST BIO 👤

Kurt Buhler is a renowned Power BI expert and prolific content creator. Follow his insights and tutorials at [Kurt's Blog] and connect with the community using #PowerBI #AITools #DataAnalytics #DAX #PowerPlatform #ArtificialIntelligence #DataModeling #BusinessIntelligence

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Data Goblins

(Livestream Replay) Demystifying Copilot in Microsoft Fabric - with Kerry Kolosko & Kurt Buhler

DESCRIPTION 📄

Are you curious about Copilot in Microsoft Fabric but unsure where to start? Join us for an in-depth livestream with Reid Havens, Kerry Kolosko, and Kurt Buhler, as we demystify Copilot and dive into what it can (and can’t) do for you.

In this session, we’ll cover:

• The different types of Copilot in Fabric and how they work

• Key features, limitations, and practical use cases for both small businesses and large enterprises

• Honest discussions on whether Copilot’s cost is justified and how it fits into Microsoft’s vision for Fabric We’ll also touch on challenges like missing functionalities in Fabric, the steep learning curve, and whether Copilot is a distraction or a game-changer for organizations. Expect real talk, practical advice, and insights into what the future might hold.

This is a must-watch for data professionals, tech leaders, and anyone curious about AI-driven tools in Microsoft Fabric. Stick around for the live Q&A—bring your toughest questions!

GUEST BIO (Kerry Kolosko)👤

Kerry Kolosko is a data visualization consultant hailing from Adelaide, South Australia. With several years experience in a variety of roles across a diverse range of industries, along with a background in psychology and a passion for the arts, Kerry brings a considered and creative edge to BI and data visualization. Also a Microsoft Data Platform MVP and an avid blogger, she shares her designs and design tips at her website (link below).

GUEST BIO (Kurt Buhler)👤

Kurt Buhler is a Power BI data goblin, speaker, and consultant. Kurt discovered his passion for working with & analyzing data during his doctoral research in Biomedical Sciences. Since then, he has worked as a consultant and bridge-builder between IT & Business in organizations to derive value from their data using actionable visuals and solutions. He advocates a design-thinking, user-centric approach to data projects to ensure solutions meet business needs and improve effectiveness. He's a lover of cats, tabletop roleplaying games, and all things Power BI & data related.

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