Zefr

Brands Move From AI Experimentation to Adoption

At an ADWEEK House Cannes Lions panel co-hosted with Zefr, industry leaders discussed practical steps for turning AI experimentation into business value for marketing organizations. Panelists emphasized building data-driven foundations—standardizing data, measurement and decision frameworks—creating knowledge hubs to retain learnings, and redesigning workflows rather than merely layering AI onto existing processes. Speakers also said the primary barriers are organizational: internal resistance, the need for executive support, and education. The session encouraged marketers to experiment with AI tools and cultivate internal evangelists to integrate AI responsibly into day-to-day operations.

Vector-Based Ad Targeting Explained

This Digiday WTF explainer describes vector-based ad targeting: a method that converts content, creatives and audience data into high-dimensional numerical vectors (embeddings) so proximity in vector space can be used for targeting, lookalikes, exclusions and predictive trajectories. The piece explains how vectors are created by embedding models from companies such as Google and OpenAI, stored in vector databases, and can be queried or linked to traditional database records. Industry voices cited include Jon Morra of Zefr and Travis Clinger of LiveRamp. LiveRamp’s User Context Protocol — donated to IAB Tech Lab and renamed Agentic Audiences — is presented as an effort to standardize exchange of vector embeddings for AI agents in advertising.

Company Leadership and Structure Updated

The current version of the webpage includes a more structured approach to presenting the company's leadership and services, with a focus on brand safety and suitability across various platforms. Specific details about executives and board members were not provided in the comparison.