innovations
-
What AI leaders get right that others miss
The gap between AI leaders and laggards isn’t technology. It’s conviction, structure, and scale. Vincent Pirenne Over the past few…
-
AI’s hidden crisis: Sprawl without transformation
Managing Director of Data & AI “AI isn’t knocking politely at the front door of IT. It’s streaming in through…
-
The future of AI-powered insights
Skip to content Managing Director, Americas Why tradition insights won’t cut it: Your traditional research methods can’t interview an algorithm…
-
What scaling AI actually requires: 4 stages
Stage 1: ValidateStage 2: Integrate (Connect to real workflows and systems)Stage 3: Operationalize (Make it reliable, scalable, and compliant)Stage 4:…
-
The technical bottlenecks that break AI at scale (and how to fix them)
Skip to content If your pilot was optimized for the sandbox with clean data, static inputs, and fixed parameters, it’s…
-
Lack of organizational readiness is making your AI pilots stall
Skip to content Even technically sound AI systems often struggle once they leave the lab. Why? In other words, the…
-
4 red flags to watch for when building & scaling your AI proof-of-concept
Skip to content Many teams rush to innovate and prove their tech works, skipping over organization-wide alignment or understanding the…
-
The reasons why your POC isn’t scaling (and how to fix it)
Most companies aren’t short on AI ideas, they’re short on scaling discipline. The future belongs to those who scale intentionally.…
-
Are you really ready for enterprise AI?
A hard-hitting look at AI readiness (and a self-diagnostic to prove it) Jonathan Chen Managing Director, AI Strategy Why enterprise…
-
Why you need an AI Strategy: 4 barriers preventing you from capturing value
Skip to content Managing Director of Data & AI The biggest obstacle to scaling AI often isn’t the lack of…