In this session...
The rise of AI is reshaping programmatic – but not all AI is created equal. Dstillery’s Chief Data Scientist, Melinda Han Williams, reveals how Multimodal AI powers next-gen targeting by learning from any data signal and activating across any tactic or channel. Learn how this breakthrough eliminates latency and fragmentation while laying the foundation for agentic AI: intelligent systems that plug into partner AI agents and power the future of automated advertising.
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AI is evolving fast – and with it, the way we plan, target, and activate media. As agencies and platforms build their own AI agents, success will depend on how well these systems work together. In this session, Melinda Han Williams, Chief Data Scientist at Dstillery, explores how Multimodal AI is powering this shift. By connecting diverse data signals – from audience briefs and search behaviors to proprietary and partner data – Multimodal AI turns any input into high-performing audiences. This enables precise targeting across all programmatic tactics and channels, reducing waste and improving results.
Melinda will unpack how this technology serves as the connective tissue between emerging agentic AI systems, integrating seamlessly with partner-built agents to unlock smarter, faster, and more scalable advertising. Whether you're AI-curious or already experimenting, you’ll leave with a clearer view of how AI agents and Multimodal AI are shaping programmatic.
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What You'll Learn from This Session...
- Understand how Multimodal AI transforms diverse data signals into precise, high-performing programmatic audiences.
- Learn how foundational AI models can seamlessly integrate with partner-built agents to enable smarter, scalable advertising.
- Gain a clear vision of how agentic AI will reshape the future of media planning, targeting, and activation.
