BI Pixie Workload on Fabric: From Power BI Usage to AI Readiness - w/ Gil Raviv

LIVESTREAM DATE/TIME 📅

August 7th 2026 - 9:30 (Pacific Time)

DESCRIPTION 📄

Power BI tells you how many times a report was opened, but not whether people actually understood it, trusted it, or found what they needed. BI Pixie is a usage analytics and AI readiness solution for Power BI, now available as a native Microsoft Fabric workload.

In this session, we'll demo the latest BI Pixie features and take you on a journey from Power BI usage to AI readiness. We'll start by showing how BI Pixie captures what really happens inside your reports, with visual-level heatmaps, click and filter tracking, and in-report satisfaction signals that reveal which content drives value and which quietly gets ignored.

Then we'll move up the stack to the part everyone is asking about: getting your data ready for AI. You'll see how BI Pixie assesses whether your semantic models are ready for AI agents like Copilot, Fabric data agents, and MCP with an engagement-weighted Readiness Score; how it optimizes those models with targeted improvements; and how you can create benchmarks to verify the effectiveness of your data agents and semantic models over time.

If you own Power BI adoption and you're wondering how to prepare your estate for AI, this one is for you.

GUEST BIO (Gil Raviv) 👤

Gil Raviv is the founder of BI Pixie and DataChant Consulting, and a Microsoft MVP. Gil has led global BI practices at Avanade/Accenture and AWS and today focuses on helping enterprises measure and improve the adoption, trust, and governance of their Power BI reports through BI Pixie.

RELATED CONTENT 🔗

BI Pixie
Gil's LinkedIn

Building Operational Systems on Databricks (with Andre Landgraf)Building Operational Systems on Databricks - with Andre Landgraf

LIVESTREAM DATE/TIME 📅

June 26th: 9:30 AM (Pacific Time)

DESCRIPTION 📄

There are two broad categories of systems: analytical systems and operational systems. Databricks is primarily known for the former. It’s an OLAP platform where organizations ingest, manage, analyze, and derive value from their data. This includes everything from business intelligence and analytics to machine learning models, AI workloads, and data pipelines.

The resulting insights, predictions, and AI-generated outputs need to flow back into operational systems that can act on them, whether that's powering an internal tool or personalizing a customer experience. This is even more true in the age of AI, where this data becomes context for agents. To make that possible, we need ways to channel analytical data back into operational systems (data apps, AI agents, and more).

In this session, I’ll give an overview of the Databricks capabilities that help operationalize analytical data. We’ll look at services such as Databricks Apps, Lakebase, and other platform components that enable you to build operational and agentic applications directly within your Databricks workspace. Let's vibe code an app from scratch and cover practical vibe coding best practices while integrating data from your lakehouse.

GUEST BIO (Andre Landgraf) 👤

Andre is a passionate developer from Germany who loves building for the web. Based in the Bay Area, he is a Staff Developer Advocate at Databricks. He was previously a Senior Software Engineer at LinkedIn and holds master’s degrees in Information Systems and Computer Science. In his free time, he brings the community together through All Things Web events in San Francisco.

RELATED CONTENT 🔗

Andre's X
Andre's LinkedIn
Databricks DevHub

Curiosity, Creativity, and Chemistry: How I Stopped Copiloting and Started Collaborating - with James Bartlett

LIVESTREAM DATE/TIME 📅

June 11th 2026 - 9:30 AM (Pacific Time)

DESCRIPTION 📄

Most people use AI assistants like fancy search engines, and the results often leave much to be desired. But James Bartlett isn't most people. He has a personal AI agent named Cray, whom he treats more like a junior colleague, and they have racked up some interesting and impressive achievements together. Cray runs 24/7 on James's home server, managing scheduled jobs, helping James with otherwise boring and repetitive tasks, and building dozens of tools (including an entire PowerShell MCP framework) during unsupervised nightly "innovation sessions."

In this conversation with Reid Havens, James pulls back the curtain on what daily life with an AI partner actually looks like: the good, the weird, the genuinely useful, the unexpectedly wholesome, and the parts that honestly still need some work. If you've wondered what's beyond "prompt engineering," this is that conversation.

GUEST BIO (James Bartlett) 👤

James D. Bartlett III is a Microsoft Data Platform MVP, co-host of The Drill Down with Ahmad & James podcast, and an unapologetic PowerShell enthusiast. By day, he helps organizations wrangle Microsoft Fabric and Power BI at P3 Adaptive, and by night, he tinkers with open-source software projects, home automation, vintage audio gear, local LLMs, and an AI agent named Cray who lives on his LAN and builds handy tools while he sleeps.

Introducing the NEW Tabular Editor CLI - with Peer Grønnerup

LIVESTREAM DATE/TIME 📅

May 29th 9:30 AM (Pacific Time)

DESCRIPTION 📄

Command line tools have a reputation problem. People hear "CLI" and either tune out or assume they need to be a DevOps engineer to get any value out of it. For most semantic model developers, that's been the story for years.

The new standalone Tabular Editor CLI changes that. You don't need to live in the terminal to automate validation, deployment, and testing across your tabular models. You just need a starting point.

In this livestream Peer will be walking through the new CLI from scratch: what it is, why it matters for Power BI and Fabric work, and how it fits into the rest of your workflow (AI agents included, if that's your flavor). We'll cover:

• What the Tabular Editor CLI actually does

• Local setup with zero prior CLI experience

• Using AI agents to generate and run commands for you

• Automating model validation, testing, and deployment

• Wiring it into CI/CD without breaking everything No prior command line experience required.

If you've been CLI-curious but didn't know where to start, this one's for you.

GUEST BIO (Peer Grønnerup) 👤

Peer is a Data & AI professional with 15+ years of experience in BI, semantic modeling, and data platform automation. As Head of Engineering at Tabular Editor, he focuses on building tools and features that help teams create better data models faster, with a strong emphasis on automation, developer experience, and CI/CD, including leading the development of the new Tabular Editor CLI.

RELATED CONTENT 🔗

Peer's Blog
Peer's GitHub
TE CLI Release