Smarter Services Executive Symposium

Get an exclusive, up-close look at Neuron7's latest AI-powered service resolution innovations.

Every service org knows its stack is holding it back. Few agree on what to fix first, or how fast a new hire can actually get up to speed once they do. This isn't a platform migration story. It's a decision story. STERIS, Burroughs, and Dexcom discuss how they arrived at their choices, where they placed their bets, and what they're working toward next, including:

• Deciding what to replace, build on, or leave alone
• Sequencing change without disrupting frontline operations
• What actually changed once the decision paid off, not just what they chose

While most service organizations are still working out their sequencing decision, the leaders on this panel already made theirs. Join us to hear what they learned, and what they'd change.

At Hach, the expertise the team needed already existed, it was just spread across too many systems to be useful when someone was mid-repair. Stop by the booth to hear Phil Ammon on:

The challenge of critical knowledge scattered across systems and out of reach the in moment of need

• What they did to bring it into one place, and the harder problem that followed, getting the team to rely on it day to day
• Where their service transformation is heading, and what's changing for the organization
• What he'd tell anyone starting down the same path

Come hear how AI in service is taking shape at Hach, and bring the challenges you're working through yourself.

Most service organizations already know how much of their expertise lives outside any single system. Figuring out how to bring it together is the challenge of the day. Phil Ammon walks through how Hach did exactly that, and the harder problem that came after, getting a team to actually trust and use it, not because they were told to, but because it earned a spot in their daily toolbox. He covers:

• Why having the data was never the hard part, having a system of expertise was
• The adoption curve nobody talks about, awareness and training are easy, desire is where most rollouts stall
• What happens to a service organization when the easy tickets stop needing a person, and who trains your next expert when they do

Join us for a real look at what it takes to turn scattered knowledge into a system of expertise, and what that changes about how a service organization is actually built.

Michael Jodon leads service engineering at STERIS, where modernizing service in a highly regulated environment at scale leaves little margin for error. Stop by the booth to hear Michael on:

• Getting the right knowledge to a technician in the field, fast, when the equipment is critical
• Putting technology in the field's hands without alienating them, augmenting the team, not replacing it
• Where STERIS's service transformation is heading, and what's changing for the organization
• What he'd tell anyone starting down the same path

Come hear about the STERIS service transformation journey with AI firsthand, and bring the challenges you're working through yourself.

Predictive has been sold for a decade, but most teams still find out something's broken only after it's already down, because the gap was never ambition. It was the data underneath the promise. Learn how STERIS is separating what machine data can actually deliver today from what's still unproven at scale, covering:

• What machine data can reliably predict today, and where a human still makes the call
• Why connected and non-connected assets demand different playbooks
• What data maturity a predictive claim actually requires

Join this session for a clear read on what predictive service at scale actually requires, and how STERIS is already doing the work to get there.