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.
CDP vs data warehouse: where should AI-enriched creator audience data actually live? A brand-side guide to architecture, risk, and ROI.
Reddit cut fake engagement 20% with ML anti-spam tools. Here’s how the system works and what brand safety teams need to know.
A practical guide to building a retrieval-augmented generation pipeline that keeps AI-generated creator briefs grounded in real brand facts.
Why brands are swapping massive LLMs for small language models to cut costs, protect data, and ship on-brand copy faster.
Autonomous bidding agents in DV360 and Advantage+ move fast, but unchecked automation still costs brands budget, brand safety, and trust.
Autonomous bidding in DV360 and Advantage+ cuts costs but hides risk. Here’s where human oversight still beats the algorithm.
Share of voice is dying. Here’s how to build an internal dashboard that tracks your brand’s Share of Model across AI answer engines.
We audited 40 brand pages against Google’s new AI search guidance to find what actually moved rankings — and what’s just noise.
A buyer’s guide to AI media-planning tools that allocate incremental reach to creators, with an evaluation framework built for mid-market budgets.
AI model interoperability determines whether your MarTech stack is an asset or a liability. Here’s how to audit vendor lock-in risk.