A notable shift is underway across the agency and consulting landscape. Over the past few years, major services firms have begun acquiring AI and analytics product companies at an accelerating pace.
Get an independent perspective on how a rigorous, scenarios-based approach can yield Agent AI wins that are both high-reward and low-risk.
Over the past 18 months, virtually every MarTech and digital vendor has rushed to add AI and agentic features to their roadmaps. Drafting copilots, predictive segments, automated tagging, journey optimization, and agents for everything from campaign creation to analytics.
Should you light up the agents embedded within your vendors' MarTech platforms?
We’ve researched more than twenty Agent AI tools; surprisingly, these tools don’t explain themselves well.
This spring, I’m sharing our time-tested methods for DAM selection in a virtual four-session course produced by Henry Stewart Events.
At this point virtually every MarTech and Digital vendor has rushed to add AI and Agentic features to their roadmaps and offerings. As the dust settles, MarTech leaders are left with stacks cluttered with overlapping features, clouded value, and potential cost escalators.
Every year, we highlight trends that we're observing in the areas we follow. Here are six trends that we think you should have on your radar in 2026 and beyond.
Over the past year, I’ve had dozens of conversations with marketing and digital leaders about generative AI. The pattern is remarkably consistent. The promise was clear: cheaper content, faster production, more personalization, more scale. And to be fair, the technology absolutely delivers on capability. But many enterprise Content AI initiatives aren’t accelerating.
Of all the platforms in a large-enterprise MarTech stack, CDPs have always engendered the most debate. What specific services make sense at that tier? How should CDPs fit into a modern architecture? Who should own and run the platform? What's the impact of AI?
In this third post in our series, From Agentic Pilot to Production, we look at why AI Agents hallucinate.
Salesforce Marketing Cloud remains a cornerstone for many enterprises. But last week’s disruption is a reminder that legacy gravity has real operational consequences.
In this second post in our series, From Agentic Pilot to Production, we look at the probabilistic nature of LLMs, the issues that can result for marketing leaders piloting Agentic AI, and how to add determinism in prompts to mitigate.
Join me March 18-19 at DAM Los Angeles 2026, a Henry Stewart Event.