Architecting a Modern Martech Stack for Speed, Scale, and AI Readiness

Enterprises are under growing pressure to personalize experiences, accelerate AI adoption, and remove customer friction—yet many legacy martech stacks weren’t built for what Business AI now demands. Unified data is no longer enough. Modern teams need real-time access to trusted information, composable architectures that adapt quickly, and intelligent workflows that empower both marketers and technical users.

In this session, experts from TDWI, Uniphore, and DocuSign break down the architectural considerations required to build an AI-ready customer data foundation. You’ll also hear how a global enterprise is evolving its marketing technology and data strategy to accelerate activation, streamline data operations, and strengthen governance.

Topics covered:
• How to understand and collect the right customer data requirements
• DocuSign’s journey from legacy segmentation systems to a flexible, composable CDP
• How composable CDPs differ from reverse ETL—and when each approach matters
• How to accelerate value with forward-looking AI capabilities, including agentic workflows and extensibility

This discussion is ideal for leaders modernizing their stack for Business AI and looking for practical guidance to move from rigid data systems to adaptable, intelligence-driven architectures.


Learn more:

[Guide] How to Design a Composable CDP with Snowflake: https://www.uniphore.com/resources/gu...
[Blog] How Agentic AI is Transforming the Workplace: https://www.uniphore.com/blog/how-age...
[Glossary] What is a martech stack? https://www.uniphore.com/glossary/mar...
[Glossary] What is composable architecture? https://www.uniphore.com/glossary/com...
[Glossary] What is a Composable CDP? https://www.uniphore.com/glossary/com...
[Glossary] What is a CDP? https://www.uniphore.com/glossary/cus...
[Glossary] What is Reverse ETL? https://www.uniphore.com/glossary/cus...
Explore Uniphore's Business AI Cloud: https://www.uniphore.com/platform/bus...

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