How Leading Enterprises Are Preparing Customer Data for Marketing AI

Many organizations have invested heavily in modern lakehouse architectures to centralize and scale their data. Yet consolidating data is only the first step. To create value from Marketing AI, enterprises need customer data that is resolved, governed, contextualized, and trusted.

The challenge is that customer data remains fragmented across transactions, loyalty programs, digital interactions, service systems, offline channels, and media platforms. Without a unified, real-time view of the customer, AI models and agents lack the context needed to drive relevant experiences, accurate recommendations, efficient spend, and meaningful business outcomes.

In this webcast, Amperity experts will discuss how organizations are evolving their customer data strategies for the AI era. Learn how a lakehouse-aligned customer intelligence layer can help bring identity resolution and customer intelligence closer to where enterprise data lives, supporting modern architecture patterns while reducing reliance on duplicative data movement and disconnected systems.

We'll explore how leading enterprises are preparing customer data for AI use cases, strengthening governance and trust, supporting flexible deployment models, and aligning customer intelligence initiatives with their broader data platform investments.

Join us to learn how technology leaders are building a trusted foundation for Marketing AI while preserving the security, control, and flexibility required in today's enterprise environments.