Agentic RAG and the Future of Autonomous Marketing Systems
For the past few years, “AI in MarTech” has largely meant smarter features inside existing tools: better predictions, faster content generation, improved personalization.
(Note: RSG Member firms get behind the curtain.)
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.
All too often you the MarTech leader get sandwiched in the middle
Personally, I don't understand what Sitecore is doing here
The slogans change, but the underlying misconceptions don’t
This Thanksgiving, Tony and I decided to do something different: set aside our usual skepticism and focus on gratitude.
Many enterprise MarTech teams are piloting AI services across different channels. Somewhat fewer are pushing prototypes into enterprise-wide production amid questions of cost, consistency, and readiness.
We can declare a victor: composable MarTech - Digital stacks have won
I’m very excited on your behalf about the next phase of enterprise customer content management