From Data Rich to Information Ready: Building the Data Foundation Your AI Agents Actually Need.
Too many membership types. Locations running their own systems. Years of records no one ever reconciled. If your data feels like more than your team can untangle, you are not alone — and it is the problem sitting underneath most failed AI deployments in fitness.
WHY ATTEND
Fix the foundation
Learn what clean, connected data actually looks like inside a fitness operation, and how to audit and prioritize what needs fixing first.
Understand the real risk
Traditional reporting tolerates messy data because a human reviews the output. Autonomous agents act on it. See why that changes everything.
Hear from operators
Two enterprise operators on what it took to get their data ready, and what became possible once it was.
YOU'LL WALK AWAY WITH
- A clear picture of what clean, connected data looks like in a fitness operation.
- A way to audit and prioritize your own data before investing in AI.
- An honest view, from operators who've done it, of the payoff on the other side.
Three operator concerns about data readiness, in P&L language, grounded in real scenarios.
Knowing Where You Actually Stand
How do I find out whether my data is ready for this, without a six-month assessment that tells me what I already suspect?
Knowing What to Fix First
Which parts actually block us, and which can wait until after we deploy?
What It Costs to Skip This
If we go live on top of what we have today, what breaks first, and how would we even find out before a member does?
WHO’S ON STAGE
A moderated panel of operators and industry experts.
Al Noshirvani
Frames the data problem underneath AI for fitness operators and drives the conversation.
Chelsea Lorenzen
Brings the practical view of what clean, connected data takes inside a fitness operation.
Deborah Fiorella
An enterprise operator's perspective on reconciling data across systems and locations.
Robbie Sprechman
A multi-location operator on turning messy records into reporting leadership can act on.