From Automation to AI Agents

Marketing data is exploding, but decisions are moving too slowly. While your team drowns in dashboards and reconciles contradictory reports, AI agents are transforming how leading organizations turn data into action. Join CloudGeometry's AI/ML Practice Director Nick Chase and NinjaCat CEO Paul Deraval for a hands-on workshop that demystifies AI agents for enterprise marketing teams. This isn't another chatbot demo or theoretical AI discussion. You'll see production-ready agents in action, orchestrating real workflows across Snowflake, Databricks, and your existing martech stack. --- What You'll Learn: - The critical difference between chatbots and true AI agents (and why it matters for marketing ops) - How to architect agents with memory systems that create compound intelligence over time - Four essential governance patterns for human-in-the-loop control without bottlenecks - Live demonstration of agents detecting budget risks, recommending reallocations, and drafting executive updates - Your 30-day implementation blueprint with proven ROI metrics --- Key Takeaways: - You'll leave with a practical framework for evaluating and piloting AI agents, including a scorecard ranking use cases by time-to-value, complexity, and revenue impact. Plus, get our pre-flight checklist for safe deployment with proper guardrails, audit trails, and approval workflows. --- Who Should Attend: - VPs and Directors of Marketing, Growth, Analytics, Data, AI/Innovation, and Marketing Ops at data-mature organizations. Agency leaders supporting enterprise accounts. This intermediate-level session assumes familiarity with data warehousing and performance marketing fundamentals. Stop wrestling with spreadsheets while your competition races ahead. Learn how to bridge the last-mile gap from data to decisive action with AI agents.