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.
Learn what Content AI Fit Maps are (and why they matter) -
“Hallucinations” has become the catch-all explanation for why GenAI sometimes makes things up. Lately, the industry has started using a more precise term: confabulation, the act of filling in missing information with something plausible, but wrong.
The MarTech Stack Leadership Council exists to give senior enterprise leaders a space to think more clearly about the technology, content, data, and operating models shaping modern marketing, content, and digital experience stacks. We have two upcoming Council meetings that we invite you to consider.
Archetypal DAM and CMS vendors will not get you to a truly AI-enabled stack.
The DAM framework identified four distinct maturity stages: DAM 1.0, 2.0, 3.0, and 4.0. Each represents a different way of managing, activating, and learning from digital assets as organizations evolve from storing content to intelligently responding to both human and machine demand.
A crucial concept from the data world can point to the future of what you need for content as well...
In this episode, Tony and I explore the future of digital asset management in an AI-driven world.
In this session, Jarrod Gingras explores the most important DAM trends shaping the next 1-2 years.
For the past few years, “AI in MarTech” has largely meant smarter features inside existing tools: better predictions, faster content generation, improved personalization.
In this episode, Tony and I dive into Agentic AI. We break down what Agentic AI really is, where it delivers real value today, and why most enterprises are still far from running their stacks autonomously.