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.
Small agencies use generative AI to cut RFP turnaround time in half while protecting the strategic craft that wins pitches.
Bayer’s predictive targeting rollout shows why enterprise AI adoption hinges on signal accuracy, not just model sophistication.
An AI governance charter keeps peak-season marketing agents fast, compliant, and accountable when a bad autonomous decision can cost six figures in minutes.
Most IP-based CTV targeting misfires due to identity resolution gaps — here’s how to audit your vendor stack before the next buy.
Adstra’s pre-buy identity check promises to fix CTV targeting before spend goes out. Here’s how to evaluate the claims.
Predictive creative recommendation engines let two-person agencies ship enterprise-level output volume without enterprise headcount.
A governance framework for AI agents that draft and deploy creator briefs, mapping exactly where human sign-off must remain non-negotiable.
A practical framework for scoring XR ONE-style format-prediction vendors on accuracy, latency, and true integration cost before you sign.
XR ONE promises faster campaign approvals than legacy ad-ops stacks — but the time-savings data only holds up under specific conditions.
XR ONE promises faster campaign approvals than legacy ad-ops stacks — but the timestamp data tells a more complicated story.