Closing the AI-ready data gap in modern marketing
- How fragmented systems are failing regulatory and insight demands
- Why flexible, composable architectures are essential for AI
- What an AI-ready CDP must support in 2026
Featuring:
Kevin Craine, Host, AI Talk
Dr Leeya Hendricks, Managing Director - Executive Marketing, Global CMO Advisory, Hark Consultants
Francesco Federico, Chief Marketing Officer, S&P Global
Justin Billingsley, Chief Marketing Officer, simbioniq
Joe Pulickal, Director of Product Management, Uniphore
Despite widespread adoption of dashboards and automation, less than a quarter of UK organisations regularly analyse data for insights — and fewer than 30% use their data for AI or automated decision-making.
In this session, we’ll break down how to future-proof your marketing data foundation with a composable, AI-ready approach — one that avoids platform lock-in, reduces data duplication, and enables real-time intelligence across your warehouse, CRM, CDP, and customer systems.
Join our next episode of AI Talk with Kevin Craine, who hosts a panel discussion where we’ll explore:
- How fragmented systems are failing regulatory and insight demands
- Why flexible, composable architectures are essential for AI
- What an AI-ready CDP must support in 2026
We will cover the essential criteria for evaluating the next generation of CDPs; composability instead of migration; governed, explainable AI as standard; support for both structured and unstructured customer data; agentic activation, not just dashboards or copilots.
Join us to learn how leading organisations are modernising their customer data architecture — and how flexible, foundation-first intelligence helps marketing, CX, and data teams unlock real value from the systems they already have.
This episode of AI Talk is sponsored by

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