Web CMS platforms have been around for more than three decades now, and remain a central part of many enterprise stacks. However, this technology has become ripe for disruption as traditional channels slowly transition to more algorithmic and agentic means of experience creation and assembly.
Digital and MarTech leaders have been working on personalization for more than two decades and have frequently been disappointed with the results relative to the effort. Will AI and Agents deliver on a long-promised breakthrough?
Some enterprises that Real Story Group advises are finally moving beyond the pilot stage with Agent AI. They have real setups running in production, or they're getting very close. But the main issue stalling these rollouts is almost always architectural rather than related to the underlying LLM ...
Many organizations believe they are standardizing their martech stack. In reality, the stack is standardizing them.
Last week’s Claude “Mythos” leak was not caused by some exotic AI failure. It was a simple CMS configuration mistake that exposed draft content.
In this episode, Tony and I talk with taxonomy expert Stephanie Lemieux about the critical role of taxonomies in modern MarTech stacks.
What does MarTech selection look like in an era characterized by almost overwhelming AI messaging? How much does AI really matter to finding the best-fit platform and vendor? What do you need to do differently, and what remains tried-and-true?
At NVIDIA’s GTC 2026 keynote, most of the attention went to chips, robotics, and model performance. But buried in the announcements was something far more consequential for enterprise teams: a new layer designed not to build AI agents, but to control them.
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.