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.
The term CRM can take on very different meanings -- you'll want to align around just one.
At RSG we talk to CMOs and other marketing leaders who became (understandably) excited by “no/low-code” agent demos – only to get blindsided in pilots.
OpenText is reintroducing itself under new leadership, new structure, and a louder AI narrative. But for marketing and content leaders, the core question isn’t whether the re-org signals a bold new future.
Marketers are chasing the next AI win - faster content, smarter insights, automated decisions. But the organizations actually getting return on investment from AI in marketing all share one thing in common: they built the foundation first.