The Breakout Breakdown: Make a Plan for Domopalooza 2026

In less than a month, data leaders, analysts, and builders will descend upon Domopalooza with a shared question: What should we prioritize next?

The Domopalooza breakout sessions are built to help you answer it.

We’re thrilled to share that we’ve packed the agenda with over 40 breakout sessions (and counting). Get ready to sharpen your thinking and take home ideas you can use right away.

Below, you’ll find a curated guide to this year’s five learning tracks, plus standout sessions to help you plan your time. Whether you’re building AI workflows, modernizing your stack, tightening governance, or driving adoption across your organization (even if it includes 41 theme parks...yes, really!), there’s a session designed for you.

Jump to each Domopalooza 2026 track below for a peek at what’s in store. And remember, this is just a taste. You can find the full list of this year’s breakout sessions and registration here.  

AI conversations are everywhere right now, but for many teams, the hard part is figuring out how to move from exploration to execution. Where does AI actually fit inside your workflows? How do you scale it responsibly? And how do you make sure it improves outcomes instead of adding complexity?

This track is built for teams who want to embed AI into real operational processes and see measurable results.

Scaling With AI: Shifting from Manual Sampling to 100% Call Coverage

Contact centers rarely have full visibility into performance. Most rely on sampling a small percentage of calls and hoping patterns emerge. Consumers Credit Union decided that wasn’t enough.

In this session, you’ll see how they used agentic AI to automate transcription and quality control at scale, giving leaders near-complete visibility into call performance. The result was smarter coaching, faster feedback, and a clearer understanding of what drives exceptional service.

From Data to Deals: AI That Negotiates

Operational processes are often where AI has the most potential, as well as the most resistance. Elevance Health shares how they transformed a traditionally manual negotiation workflow into a scalable, AI-powered system that accelerates cycle times and improves outcomes.

You’ll learn how they introduced AI into a high-impact business process without disrupting trust and how they built something that could evolve as the business grew.

All Talk, No Bots? How Bissell Turned AI Buzz into Real Workflows

Many organizations talk about AI pilots. Far fewer ship production-ready workflows.

Bissell walks through how a focused, cross-functional hackathon led to five deployed automations in just days. More importantly, they explain how they selected use cases, structured ownership, and maintained momentum across teams. If your organization is still experimenting, this session offers a practical path forward.

There are so many ways Domo can help your business run more efficiently, but integrating data across systems and preparing it for advanced analytics can feel overwhelming. Most teams inherit infrastructure that was built for yesterday’s needs.  

This track focuses on building a modern, durable data environment that supports scale, governance, and AI readiness.

The Dealer Winback Hack: Scaling Analysis with AI Agents in Domo

Dealer-level analysis used to mean manual slide decks and hours of repetitive work. FordDirect and OneMagnify reimagined that process by using AI agents inside Domo to automate analysis while preserving business logic and governance.

You’ll see how they unified data sources, standardized performance logic, and created repeatable workflows that scale analyst expertise without sacrificing oversight.

From Data Chaos to AI-Ready: Building a Modern Analytics Structure That Sticks

Modernization is rarely a clean break. It’s usually a careful transition from legacy systems to something more resilient.

Samsung Ads shares how they transformed legacy pipelines into a scalable analytics foundation using Snowflake, dbt, and Domo. This session goes beyond tools and focuses on structure—how to build infrastructure that solves today’s problems while positioning your team for future AI initiatives.

Cleaning Up Chaos with Magic ETL, AI, and Python

Messy data is more than inconvenient. It slows decision-making and undermines trust.

NLC Mutual walks through how they categorized claims data, improved AI readiness, and introduced automation without overwhelming their team. You’ll leave with practical techniques for improving data quality and consistency so that downstream analytics become faster and more reliable.

Building dashboards is one thing. Building data experiences that people actually use is another.

If your goal is to empower nontechnical stakeholders, align teams around shared metrics, and design analytics that inspire action, this track is for you. You’ll see how organizations are turning raw information into intuitive, accessible products that drive real-world impact.

Illuminating Arizona’s Priorities Through Trusted Data

In a polarized environment, shared facts matter. The Center for the Future of Arizona uses Domo to translate survey research and statewide metrics into a cohesive, accessible data ecosystem.

This session explores how trusted data can align diverse stakeholders, elevate public discourse, and turn complex civic priorities into measurable progress.

BYU Athletics & WMT: Turning Stadium Data into Game-Day Decisions

Stadium operations generate enormous amounts of data, but that data only matters if it informs decisions quickly.

BYU Athletics and WMT show how combining ticketing data, survey feedback, and spatial context created clearer insights for game-day operations. Through thoughtful visualization and design, they made analytics usable for nontechnical teams and actionable across departments.

As your use of Domo grows, so does the responsibility to manage it well. Governance, cost optimization, observability, and user trust all become more important over time. Without discipline, even the best platform can become cluttered or inefficient.

This track is designed for technical users, power users, and admins who want to keep their Domo instance clean, scalable, and ready for what’s next.

Spring Cleaning Your Domo: Our Consumption Migration Story

Over time, unused data sets and forgotten workflows can quietly drain credits. Ingo Payments decided to take a closer look at their environment and discovered significant opportunities to optimize.

They’ll share how they audited their instance, reduced consumption by 50 percent, and implemented habits that keep their environment efficient going forward.

From Chaos to Clarity: A Modern Framework for Scalable, AI-Driven Insights

AI readiness depends on upstream discipline. Thryv shares the steps they took to transform scattered data sets into a structured, scalable insights engine.

You’ll hear where infrastructure investments often fall short and how to build an operating model that supports both speed and governance.

Taming the Wild West: Building a Scalable Domo Foundation

Adoption and governance are deeply connected. Without trust in the data, usage fades. Vance Thompson Vision shares about optimizing their Domo environment, engaging stakeholders, and establishing governance practices that strengthened adoption across the organization.

Every organization’s path with Domo looks different. Some teams are scaling rapidly across business units. Others are focused on increasing daily adoption. Many are rethinking how design, apps, and workflows can expand what Domo powers.

This track highlights the people and strategies behind sustainable growth.

Plating with Purpose: How to Design Your Cards, Apps, and Meals to Make People Hungry for More

If data is difficult to interpret, people disengage. John Le shares practical design frameworks that make insights easier to digest and more compelling to explore. He’ll be joined on stage by Kristen Edwards from Rising Star Outreach, to share how simple chnages in design helped build real appetite and buy-in from teachers in India.

Start Lean, Scale Without Breaking: How Six Flags Unified 41 Parks with Domo

Scaling BI across dozens of parks while working with lean IT resources requires thoughtful architecture and clear prioritization.

Six Flags explains how they unified fragmented marketing data, introduced scalable apps, and maintained flexibility during mergers and shifting business demands.

Make Domo a Daily Destination

Consistent adoption requires more than accurate data. You also need trust and relevance. Mindstream Media Group shares how they reinforced user confidence through QA processes, personalization, and workflow integration, turning Domo into a platform teams log into daily.

Transforming Corporate Travel: One Platform, Endless Potential

What begins as reporting can evolve into something much larger. Take2Eton walks through how they centralized travel data, automated reporting, and expanded into operational apps that support finance and procurement.

Save your spot at Domopalooza 2026

We don’t want you to miss these and so many other fantastic stories at Domopalooza 2026. Register to attend the Data + AI conference today.