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.
Why brands are building AI model registries to track which tool touched every asset, cutting legal, brand, and compliance risk.
Gradial-style AI marketing operating systems promise fewer vendors but raise new lock-in risks. Here’s how to evaluate the tradeoff.
AI marketing adoption is nearly doubled, but scattered customer records are quietly capping the ROI brands expected to see.
Ask Ad Manager is inching toward autonomous execution. Here’s what still needs a human, and where governance gaps expose budgets to risk.
A practical blueprint for unifying AI chat, voice, and visual search signals with purchase data into one identity resolution stack.
A technical buyer’s guide to Databricks CustomerLake as an agentic CDP, covering architecture, ROI, and where legacy composability still wins.
A practical decision tree for routing marketing tasks to GPT-5, Gemini, or Claude based on cost, speed, and hallucination risk.
Google’s DV360 API update lets brands test and swap AI-generated ad assets mid-flight — here’s how to build the workflow without tanking QA.
A practical, brand-side comparison of AI fraud-detection platforms for influencer vetting, covering accuracy, pricing, and integration risk.
A technical, ROI-focused breakdown of YouTube’s Reimagine tool for brands repurposing Shorts at scale, with risk and workflow guidance.