A while ago, Mike Rizzo asked a pointed question on LinkedIn: are Marketing Operations professionals actually seeing ROI from their AI investments? The poll got tons of responses. At least 91% of people wanted to see how companies were measuring AI ROI but only 6% of those people were willing to share their own ROI.
Everyone wants proof of AI ROI. Almost no one can show it. Here’s why the gap isn’t about AI investment, and what MOps teams need to fix for marketing attribution first.
MOps-Apalooza 2025 brought more than four hundred marketing operations, revenue operations, and GTM professionals together at The Westin Anaheim for three days of hands-on learning, live workshops, and community conversations. This year’s program made room for everything from AI agent building to leadership development and tech stack decision-making. Attendees came ready to build, test, and
AI is now table stakes for marketing operations teams. From automating tasks to reshaping how teams collaborate, it is making marketing more efficient, scalable, and data-driven. But with opportunity comes tough questions: To find out, we asked marketing operations professionals to share their perspectives on where AI is headed and why it matters. Their feedback
As the founder of a generative enterprise AI company, I’ve had countless discussions with Marketing Operations leaders over the past 2 years. My company has worked with hundreds of organizations to build internal AI models for automating scoring, qualification, nurturing, and more, and we’re now running close to half a billion daily predictions for them.
Introduction: Blending Human and Technical Perspectives in Martech Caption: Future gardens of martech will blend human and AI perspectives As a co-host of the Humans of Martech podcast, I’ve had the privilege of interviewing some of the brightest minds in marketing technology. This unique experience has provided a blend of human and technical perspectives in
