EVENTS

AI is rapidly changing what organizations expect from their ServiceNow data. But while many teams are focused on AI tools, copilots, and agents, the reality is that most organizations still haven't solved the foundational data architecture challenges required to make those initiatives successful. Join David Loo, one of ServiceNow's founding engineers and the founder of Perspectium and 2ndThoughts, for an exclusive conversation about how ServiceNow's role has evolved, the data architecture mistakes organizations continue to make, and why turning ServiceNow data into meaningful AI insights remains harder than most teams expect. Drawing on decades of experience, from helping build ServiceNow in its earliest days to solving enterprise-scale data challenges with Perspectium and pioneering new approaches to AI-powered analytics with Sequitur, David will share lessons learned from the front lines of enterprise data, analytics, and AI. During this session, we'll explore:

• How ServiceNow was originally designed and how data requirements have evolved over time
• The most common ServiceNow data architecture mistakes organizations still make today
• What it really means to make ServiceNow data "AI-ready"
• How AI is changing the conversation around ServiceNow data accessibility and architecture
• Why traditional dashboards and BI tools often fall short for ServiceNow teams
• What becomes possible when users can interact with ServiceNow data more naturally through AI
• What the future of AI-powered analytics, workflow optimization, and decision-making looks like in the ServiceNow ecosystem

Whether you're a ServiceNow administrator, developer, architect, consultant, engineer, or platform owner, this webinar will provide a rare perspective from someone who has spent decades helping organizations unlock more value from their ServiceNow data, and practical guidance for transforming the right data architecture into actionable AI insights.

Every DBA has a story they’d rather not repeat. The 2 AM change that seemed harmless. The backup everyone assumed was fine. The process someone skipped because “just this once” felt reasonable at the time. In this session, Paresh Motiwala walks through real-world lessons from decades as a DBA, developer, manager, speaker, and user group leader. He’ll look at the habits, assumptions, and process gaps that can create trouble for DBAs. Untested backups. Missing documentation. Tool avoidance. Communication breakdowns. The everyday decisions that seem small until they are not. Some lessons are technical. Some are organizational. Some are about protecting your time, your team, and your future self

Attend a live demo of the WhereScape Data Automation ecosystem hosted by a senior solutions architect. Experience the features that enable WhereScape users to save time, money and resources on data projects and enable individual developers to do the work of many.