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.
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.
A practical AI governance scorecard for scoring marketing vendors on bias, explainability, and data handling before you sign anything.
Snowflake and Databricks are shifting from nice-to-have to non-negotiable as brands rebuild attribution around first-party data.
Agentic browsers like ChatGPT Atlas and Comet will soon shop for consumers. Here’s how to fix product feeds before they lock brands out.
An AI model registry gives marketing teams a system of record for which model touched which campaign, protecting ROI and compliance.