Companies adopted AI faster than they built the infrastructure to manage it. You cannot optimize what you cannot see.

The useful way to think about an agent is not only by what it can do but by how easily a mistake can be noticed and corrected before it spreads.​

In some cases, this data does not even exist yet in any usable form.

AI isn’t just a new traffic source to add to the media plan. It’s becoming a new customer in the funnel.

AI-driven visual search is changing product discovery. Here’s why accurate product attributes matter more than ever.

Without a defined scope, an agent that can act freely is a risk multiplier, not a productivity gain.

This is different from simply explaining the technology. It requires translating technical choices into operational and business consequences.

You can pay for more capability and get less because the data underneath is wrong.

Here’s why agentic commerce depends on reliable commerce platforms for real-time data, inventory, fulfillment and transactions.

What surprised me most: In every rollout I’ve been part of, daily usage doesn’t correlate with age.