Marketers have more customer, commerce, media, and third-party data than ever—but turning it into usable insight remains slow and complex. This piece explores how agentic data orchestration can simplify access, embed governance, connect distributed data environments, and help business users move faster from question to insight to action.

We spent years centralizing customer data—then started shipping copies of it back out across the marketing ecosystem. The Great Customer Data Boomerang explores a better model for audience activation: keep intelligence close to the source, move fewer records, and give downstream platforms the signals they actually need to act.

Is AI really going to kill us all? From Anthropic’s latest warnings to rogue AI agents, recursive self-improvement and calls to halt advanced AI development, doomerism is having a moment. But how much is legitimate risk—and how much is panic? We examine the evidence, the assumptions behind extinction scenarios, and why taking AI safety seriously doesn’t require believing the apocalypse is coming.

Marketers have spent billions building CDPs, clean rooms, identity graphs, and cloud data environments. Yet remarkably little paid media is informed by the customer intelligence brands already possess. The next competitive advantage won’t come from collecting even more data. It will come from closing the last mile—and turning current, consented first-party signals into smarter media decisions while they can still make a difference.

Agentic media trading is moving from concept to real-world execution. This article examines the infrastructure buyers and publishers need to participate—and the discovery, protocol, execution, verification, settlement and governance layers taking shape around it. As the market automates, the industry may believe it is choosing software while actually choosing its next set of intermediaries.

As brands use more customer data to power personalization and AI, broken permissions create experiences that feel repetitive, intrusive, and downright creepy. This article explores the “consent gap”—the distance between what customers believe they have allowed and what a company actually activates—and what marketing leaders must do to close it.

AI is making it possible to replace clunky dashboards, spreadsheets, and repetitive workflows with purpose-built internal applications. Lucas Longacre shares how he’s building hyper-focused tools at Inlightened—and why the next frontier of enterprise AI may be empowering teams to build software around the way they actually work.

Four years into the AI era, intelligence has arrived—but the revolution we were promised hasn't. AI can pass the Turing Test, summon something resembling a “country of geniuses,” and transform how millions work, yet society remains remarkably familiar. Maybe AI isn't overhyped. Maybe we're simply underestimating how long it takes humanity to rebuild the world around a revolutionary technology.

At sixteen, Quinn Harrington traded a McDonald’s visor for a lifeguard whistle—and accidentally discovered entrepreneurship, positioning, and the power of charging for value. In this personal essay, she reflects on the backyard swim lessons that taught her what customers really buy: attention, trust, relationships, and someone willing to say, “I’ve got you.”

As AI reshapes personalization and customer engagement, consent can no longer live in a static compliance system. This article explores why permission is becoming the critical layer that determines whether customer data can be used responsibly—and how brands can build trusted, AI-ready customer intelligence.