Marketing Operations is no longer just the team fixing broken workflows and babysitting the martech stack. AI is forcing the function into something far bigger: the intelligence and orchestration layer of modern marketing.

The companies winning with AI won’t necessarily have the best prompts, the fanciest agents, or the newest tools. They’ll have the cleanest systems, the strongest governance, the best-connected data, and the operational discipline to make AI actually work at scale.

Time for some honesty… your reports don’t actually tell the truth about customers. There, I said it. They tell the truth about whatever identity system you fed them. And if that identity system is a mash of cookies, CRM IDs, hashed emails, device IDs, and guesses — then your “truth” is basically a polite fiction with confidence issues.

Welcome to the world where identity stitching is the star player in modern reporting, not just an afterthought.

Is it just me or do dashboards feel… slow? Most teams can pull data from Adobe Analytics, Customer Journey Analytics, or a BI dashboard without breaking a sweat. The real problem is what happens after you see the numbers: validating, interpreting, coordinating, deciding, acting. By the time the insight reaches the right person, the opportunity has often passed.

That’s where agentic workflows come in.

These aren’t magic dashboards or futuristic “AI assistants.” They’re systems that watch your data continuously, reason across metrics and behaviors, and respond when outcomes matter. Instead of waiting for you to notice a spike, dip, or anomaly, they flag it, explain why it matters, and even suggest — or execute — the next steps. Analytics stops sitting on the sidelines and starts participating.

Less busywork. More timely action. And finally, insights that actually influence outcomes.

Hot take…many marketing, advertising, and revenue teams are getting ahead of the data problem, but they still have an insight problem. Despite powerful platforms and endless dashboards, getting from signal to understanding still takes too long. From my perspective working at Adobe and with many high-tech customers, generative AI is finally changing that. By enabling teams to ask natural-language questions, auto-generate insight narratives, and connect web, media, and revenue data more intuitively, GenAI is shifting analytics from reporting to reasoning. The real impact is helping humans understand their data faster, communicate insights more clearly, and make better decisions across the entire customer journey.