Author: Ava Patterson
Ava Patterson
Ava is a San Francisco-based marketing tech writer with a decade of hands-on experience covering the latest in martech, automation, and AI-powered strategies for global brands. She previously led content at a SaaS startup and holds a degree in Computer Science from UCLA. When she's not writing about the latest AI trends and platforms, she's obsessed about automating her own life. She collects vintage tech gadgets and starts every morning with cold brew and three browser windows open.
An agent-to-agent commerce readiness audit shows brands why messy product feeds will make them invisible to AI shopping agents.
Reddit’s AI anti-spam system cut fake engagement 20%, offering brand safety teams a blueprint for auditing platform trust signals.
We tested Google’s Ask Ad Manager chatbot against real campaign tasks to find where its autonomy actually stops.
We tested Google’s Ask Ad Manager chatbot against real campaign tasks to find where its autonomy ends and human oversight begins.
AI agents are already negotiating vendor terms — here’s how brands should restructure contracts, oversight, and risk before autonomy outpaces governance.
As generative AI compute costs spiral, marketing teams are borrowing FinOps discipline to forecast, allocate, and defend AI budgets.
A brand-side breakdown of Acxiom, Epsilon, and TransUnion identity graphs for creator and CRM attribution in 2026.
A practical comparison of Acxiom, Epsilon, and TransUnion identity graphs for brands unifying creator and CRM attribution data.
AI observability tools are becoming essential infrastructure for brands running autonomous agents across marketing, ad buying, and CRM stacks.
How brands can evaluate on-device AI for retail personalization while preserving the server-side attribution data their models depend on.