Name: From the ServiceNow Experts: The AI Reality Check
Start: 2026-10-20T15:00:00-04:00
End: 2026-10-20T16:00:00-04:00

<p style="color: rgb(33, 37, 41);">Drawing on work across two long-running federal programs and multiple AI implementations at additional agencies, the panel pushes back on the misconceptions that trip up most organizations. The conversation centers on the “plumbing” that's easy to skip <em>and</em> expensive to skip, items like data hygiene and process standardization and how prioritizing those items can help determine whether AI value shows up once, or keeps showing up.</p><p style="color: rgb(33, 37, 41);">What we’ll cover:</p><div style="color: rgb(33, 37, 41);"></div><ul type="disc" style="color: rgb(33, 37, 41);"><li>Why "turning on AI" isn't as simple as flipping a switch</li><li>Where the human-in-the-loop still belongs</li><li>How AI-ready most data actually is</li><li>The dependencies between ServiceNow's platform components that most teams don't see</li><li>Why data hygiene and process standardization are what make AI durable</li></ul>

Drawing on work across two long-running federal programs and multiple AI implementations at additional agencies, the panel pushes back on the misconceptions that trip up most organizations. The conversation centers on the “plumbing” that's easy to skip and expensive to skip, items like data hygiene and process standardization and how prioritizing those items can help determine whether AI value shows up once, or keeps showing up. What we’ll cover: Why "turning on AI" isn't as simple as flipping a switch Where the human-in-the-loop still belongs How AI-ready most data actually is The dependencies between ServiceNow's platform components that most teams don't see Why data hygiene and process standardization are what make AI durable