Context Is a Verb: Context Graphs and Agentic Infrastructure
There’s a lot of excitement right now around context graphs — designing agentic systems to capture the “why” behind decisions, not just the “what.” The promise is compelling, but it assumes the “why” already exists somewhere to be captured. Where I differ is in how that “why” actually gets learned. In agentic systems operating in […]
Why CRM Teams Don’t Lose Control with Agentic Infrastructure
Most CRM practitioners think adopting Agentic Infrastructure means giving up control. No more defining user segments or setting up rules-based campaigns. That’s a difficult pill to swallow — but the reality is that the “control” CRM teams think they have today is already an illusion. Campaigns and segments were never instruments of control; they were […]
Garbage In, Garbage Out? Not Anymore.
Why Agentic Systems Learn from Messy Data “Garbage in, garbage out.” It’s one of the most familiar sayings in machine learning and for traditional systems, it’s true. If your data is inconsistent, incomplete, or unstructured, your model will reflect that. That’s why so much time (and budget) is spent building data warehouses, deploying CDPs, and […]