The MarTech landscape is shifting rapidly, amid requirements for omnichannel engagement and greater understanding about the enterprise foundations required for successful AI in Marketing.
I'm pleased to announce a new opportunity for senior DAM leaders this year at DAM Europe 2026 in June and again at DAM New York 2026 in October.
How enterprise teams must rethink agency relationships, ownership of data and content, and the shift from traditional supply chains to AI-driven demand chains.
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.