At an event the size of ServiceNow Knowledge 2026, it’s easy to assume that the most important conversations will be the most visible ones. The keynotes draw the most attention, the major announcements shape the headlines, and the largest sessions tend to define how the event is remembered.
(And my colleague Devon Clarke absolutely nailed those broad strokes in her own Knowledge 2026 preview piece.)
But me? Well, I’m fairly new here. It’s my first Knowledge trip, and only my second ServiceNow event overall. So, I’m using this opportunity to dive much deeper, launching headfirst into this ever-expanding ecosystem. That means looking well beyond the big announcements and paying attention to what people are discussing in the halls, at the happy hours, and when they get back to their own meeting spaces.
(Alright, I might not be able to get into those private sessions, but you get my point.)
My weeklong agenda is packed with granular sessions. The ones that change how teams think and operate are often buried deeper in the agenda, tucked into smaller rooms, framed as discussions rather than presentations, and easy to overlook if you are not actively looking for them.
Where Data Becomes Action
Sessions like Agentic Insight-to-Action Workflows with ServiceNow Data and Analytics and Platform Analytics and Pyramid Roadmap: AI-Ready Insights for Data Leaders are easy to skim past if you are not actively searching for them, but they are quietly pointing to one of the more important shifts happening across the platform.
There is a clear move away from analytics as a reporting layer and toward analytics as an execution engine, where insights are expected to trigger workflows, decisions, and downstream actions without manual intervention. That sounds straightforward in theory, but in practice, it places a much heavier burden on data quality, orchestration, and governance than most organizations are currently prepared for.
The Conversations That Don’t Come with Slides
The more intimate formats, particularly the smaller roundtables and facilitated discussions, are likely to be some of the most valuable parts of the agenda precisely because they are not positioned as marquee sessions.
There is no stage, and little formal presentation. Instead, what you get is a room full of practitioners working through shared challenges, such as stabilizing a CMDB, managing cross-platform dependencies, or trying to introduce AI into workflows that were never designed for it.
These conversations move quickly past the “what” and into the “why did this break?” and “what did you have to change to make it work?” which is where most organizations spend their time once implementation is complete.
Build Sessions That Reset Expectations
Within CreatorCon and the broader developer-focused tracks, some sessions dig into how AI-driven workflows and automations are constructed, extended, and maintained.
They are not always labeled in a way that signals their full impact, but they play a critical role in grounding the broader platform narrative. It is one thing to hear about autonomous workflows at a strategic level, and something entirely different to understand what it takes to design them in a way that is reliable, observable, and governable over time.
The Sessions Where AI Starts to Feel Real
There is also a growing category of sessions that sit somewhere between technical and conceptual, often centered around topics like trust, accountability, and responsible AI usage.
They’re easy to overlook because they don’t always tie to a specific product or feature, but are increasingly relevant as AI moves deeper into operational workflows. The conversation is shifting toward how AI should be governed, how outcomes are validated, and how organizations maintain control as automation becomes more autonomous.
Hands-On Academia
While I’m not able to attend, I’d be remiss if I didn’t mention the hands-on labs and pre-conference ServiceNow University sessions, which are another area where the agenda becomes more revealing the closer you get to it.
Working directly within the platform, even in a guided setting, has a way of exposing the difference between conceptual understanding and operational capability almost immediately. It highlights dependencies that were not obvious, surfaces data requirements that were underestimated, and reinforces just how much structure is needed to make these systems function effectively at scale.
The Pattern Beneath It All
Across these smaller sessions, from analytics workflows to face-to-face discussions to hands-on labs, there is a consistent pattern that starts to emerge.
The most valuable insights are rarely presented as headline moments. They show up in more interactive sessions and in environments where assumptions are actively tested rather than reinforced.
How CoreX (and This Writer) is Approaching the Week
CoreX will be well-represented in Las Vegas during Knowledge 2026. But as the company’s onsite reporter, this is where I’ll be focusing my time as soon as the lights dim on the bigger keynotes. Because to truly understand ServiceNow, I need to see the real-world impact of how the platform is evolving, and how those ideas hold up when they are applied, extended, and challenged in real environments.
The goal is not to leave with a list of new names. (Alright, that's not entirely true, either.) But this writer aims to fly home with a clearer understanding of what it takes to make those capabilities work for the people we write for every week.
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We invite you to bookmark this page. Next week, we will be posting updates as they happen, directly from Knowledge 2026 in Las Vegas!
