AI Agents in Databricks
2025-04-22 17:30 - 19:30 UTC | MSOE Dwight and Dian Diercks Computational Science Hall Building, 1025 N Milwaukee Street, Room DH445, Milwaukee, WI, 53202, United States
This event has already taken place. You can watch the full recording using the link below:
🔗 [AI Agents in Databricks]

Accelerating ML Workflows with Databricks
2025-05-20 17:30 - 19:30 UTC | MSOE Dwight and Dian Diercks Computational Science Hall Building, 1025 N Milwaukee Street, Room DH445, Milwaukee, WI, 53202, United States
This event has already taken place. You can watch the full recording using the link below:
🔗 [Accelerating ML Workflows with Databricks]

Summerfest Tech 2025
2025-06-24 09:00 - 11:00 UTC
Summerfest Tech 2025

Xorbix Technologies Inc is collaborating with Databricks for a Tech Ed Course – AI in Supply Chain Hands-on Workshop

Summerfest Tech Website registration: https://store.summerfest.com/2025-summerfest-tech-ed-courses
Led by Uttaran Banerjee, Sr. Solutions Architect at Databricks and Gaurav Sharma, Solutions Architect at Databricks
The delivery of goods across a global distribution network is highly costly and logistically complex. Manufacturers can use data and AI to address these operational challenges to maintain competitiveness and profitability in the marketplace. With the Databricks Lakehouse for Manufacturing, organizations can:

Use linear programming (LP) to optimize product distribution at scale
Train models to predict supply and demand of products
Leverage Apache SparkTM to easily speed up model training on Pandas DataFrames

Workshops Tuesday, June 24th, 2025, 9AM – 11AM and 2PM – 4PM
Meet our team to discuss the future of AI!

Wisconsin Databricks User Group
2025-07-24 17:00 - 19:00 UTC | Wantable Cafe, 123 East Walker Street, Milwaukee, 53204, United States
This event has already taken place. You can watch the full recording using the link below:
🔗 [Wisconsin Databricks User Group]

Wisconsin Databricks User Group: Serverless for Notebooks, Jobs, and DLT
2025-08-19 17:30 - 19:30 UTC
This event has already taken place. You can watch the full recording using the link below:
🔗 [Wisconsin Databricks User Group: Serverless for Notebooks, Jobs, and DLT]

Wisconsin Databricks User Group: LakeBase: Operational OLTP Database
2025-09-16 17:00 - 19:00 UTC | Wantable Cafe, 123 East Walker Street, Milwaukee, 53204, United States
This event has already taken place. You can watch the full recording using the link below:
🔗 [Wisconsin Databricks User Group: LakeBase: Operational OLTP Database]

Wisconsin Databricks User Group: Win Governance and Sharing with Unity Catalog and Mosaic AI
2025-10-21 17:30 - 19:30 (America/Chicago) | MSOE Dwight and Dian Diercks Computational Science Hall Building, 1025 N Milwaukee Street, Room DH445, Milwaukee, WI, 53202, United States
This event has already taken place. The recording will be available soon. Please check back later for the video link.

Building Intelligent Supply Chain with Databricks
2025-11-17 12:00 - 13:30 (America/Chicago)

Wisconsin Databricks User Group: Data Warehousing
2025-11-18 17:30 - 19:00 (America/Chicago) | MSOE Dwight and Dian Diercks Computational Science Hall Building, 1025 N Milwaukee Street, Room DH445, Milwaukee, WI, 53202, United States

Building Intelligent Analytics & Supply Chains with Databricks
2025-12-16 17:30 - 19:00 (America/Chicago)
Virtual Option
Can’t attend in person? No problem, we’ll also be streaming an online webinar from the event. Click below to register:

Virtual Event

Date/Time: December 16th | 5:30-7PM CST
Location: MSOE 1025 N Milwaukee Street, Milwaukee, WI 53202 (Virtual option also available)
Room Number: 445
Speakers: Sam McCune (Databricks Data Engineer Professional) and Ben Schmirler (Databricks Data Engineer Professional)
Agenda:

5:30-6: Networking with User Group and Professionals
6-6:30: Sam McCune: “Smarter, Faster, Cheaper: AI/BI Dashboards with Databricks Serverless Compute”
6:30-7: Ben Schmirler: “Build an Intelligent Supply Chain in Databricks”

Description:

Join us for our next Wisconsin Databricks User Group meetup, where we bring together data professionals, engineers, and innovators from across the state to learn, share, and connect. This session features Databricks experts Sam McCune and Ben Schmirler, both Databricks Data Engineer Professionals, showcasing real-world solutions built on the Lakehouse platform. Sam will walk through how Serverless Compute, Delta Lake, and native AI capabilities power modern BI without the complexity of traditional tools, while Ben will demonstrate how Databricks enables intelligent, AI-driven supply chain transformation. You’ll also have the opportunity to network with fellow data practitioners, exchange ideas, and connect directly with Databricks specialists. Whether you’re new to Databricks or deep in the ecosystem, this is a great chance to level up your knowledge and meet the community. Whether you prefer to join us in person or attend virtually through our live webinar, we’ve made it easy to participate from wherever you are.

Smarter, Faster, Cheaper: AI/BI Dashboards with Databricks Serverless Compute:

This presentation demonstrates how Databricks transforms traditional BI by unifying data, analytics, and AI into a single Lakehouse platform. Through an insurance claims dashboard, we show how serverless SQL, Delta Lake, and native AI capabilities deliver faster performance, lower cost, and smarter insights than tools like Power BI or Tableau. You’ll see real-time dashboards, predictive fraud scoring, anomaly detection, and natural language querying, all running on the same governed dataset without extracts, duplication, or external ML services.

Build an Intelligent Supply Chain in Databricks:

Discover how Databricks enables a unified, intelligent supply chain powered by real-time analytics, predictive insights, and AI-driven decision-making. Learn how leading organizations are reducing forecasting errors by up to 50% and lost sales by 65% through data unification and automation.

Holiday Special: MLOps in Databricks
2026-01-20 17:30 - 19:00 (America/Chicago)
Virtual Option
Can’t attend in person? No problem, we’ll also be streaming an online webinar from the event. Click below to register:

Virtual Event

Date/Time: January 20th | 5:30-7PM CST
Location: MSOE 1025 N Milwaukee Street, Milwaukee, WI 53202 (Virtual option also available)
Room Number: 445
Speakers: Andrew McQueen (Databricks Data Science Professional)
Agenda:

5:30-6:30: Networking with User Group and Professionals + Food, Drinks and Prizes
6:30-7: Andrew McQueen: “MLOps in Databricks”

Description:

Join us for a special holiday edition of the Wisconsin Databricks User Group meetup on January 20th! While the holidays may be behind us, this event is all about reconnecting, relaxing, and kicking off the new year with the local data community. This session places extra emphasis on networking and socializing, with plenty of time to connect with fellow data professionals, enjoy food and drinks, and take part in prize giveaways. Whether you’re looking to expand your professional network, exchange ideas, or just unwind with others in the Databricks ecosystem, this meetup is designed to be equal parts informative and social. As always, Databricks practitioners of all experience levels are welcome, and you can choose to join us in person or attend virtually through our live webinar.

MLOps in Databricks:

In this technical session, Andrew McQueen, Databricks Data Science Professional, will walk through how Databricks supports end-to-end MLOps workflows using a hands-on, real-world example rather than just slides. The presentation will cover experiment tracking, model comparison and selection, model registry and versioning, monitoring, and building repeatable workflows that scale as new data arrives. Andrew will also touch on key Databricks platform capabilities such as governance and Unity Catalog, tying everything together into a practical, production-ready MLOps lifecycle that teams can actually use.

WI Databricks User Group - Data Scientist Panel
2026-02-17 17:30 - 19:00 (America/Chicago)
Virtual Option
Can’t attend in person? No problem, we’ll also be streaming an online webinar from the event. Click below to register:

Virtual Event

Date/Time: February 17th | 5:30-7PM CST
Location: MSOE 1025 N Milwaukee Street, Milwaukee, WI 53202 (Virtual option also available)
Agenda:

5:30-6:00: Networking with User Group and Professionals + Food, Drinks and Prizes
6:00-7:00: Data Scientist Panel

Description:

Join us on February 17 for a Data Scientist Panel at the Wisconsin Databricks User Group, featuring experienced practitioners discussing the future of data science, emerging industry trends, and real-world challenges teams face today. Network with peers, enjoy food and drinks, and take part in an interactive discussion designed to spark ideas and practical takeaways. This meetup is designed to be equal parts informative and social. As always, Databricks practitioners of all experience levels are welcome, and you can choose to join us in person or attend virtually through our live webinar.

Data Scientist Panel:

In this panel, join Michael Schuh, Herbert Ssegane, Joshua Wankowski, and Matt Harrison as they explore industry trends, strategies, challenges, skills, ethics, and general approaches for the following data science topics:

AI & Data Trends
Practical Implementation Challenges
AI Ethics and Responsible AI
Skills and Talent
Industry & Regional Impact

Attendees will also be welcome to bring up any questions or concerns of their own. See you there!

Data Engineering Lessons from the Field
2026-04-21 17:30 - 19:00 (America/Chicago)
Virtual Option
Can’t attend in person? No problem, we’ll also be streaming an online webinar from the event. Click below to register:

Virtual Event

Date/Time: Tuesday, April 21st 5:30-7:00 PM CST
Location: MSOE 1025 N Milwaukee Street, Milwaukee, WI 5320
Room Number: 445

Agenda:

5:30-6:00: Networking with User Group and Professionals + Food, Drinks and Prizes
6:00-7:00: Data Engineering Panel

Description:

Join us on April 21 at the Milwaukee School of Engineering campus for an energizing evening with the Milwaukee Databricks User Group from 5:30–7:00 PM. We’re bringing together top data engineers and architects from across the region for a fast-paced, no-fluff panel discussion on what it really takes to build, scale, and modernize today’s data platforms. From architecture decisions and governance to performance, cost optimization, and real-world production lessons, this conversation is all about practical insight you can apply immediately. The panel will feature Kent Maxwell, Maggie Schweihs, Ryan Shiva, and Karthik Kadapa. Come early to network with Milwaukee’s growing data community, stay for a dynamic discussion, and leave with new connections and actionable ideas to elevate your data strategy.
