Catch up with fellow attendees over some refreshments and meet with our partners in the Live Exchange.

Once held as a uniquely human pursuit, Creativity now faces the disruptive force of AI.  From ACR targeting to in-scene placement to dynamic creative to Hollywood production, this session will explore a range of recent technological innovations at the intersection of AI and advertising.  AI is now the savant entering the rooms of Holdco, creative agencies, publishers, media co, production houses, ad serving platforms, SSPs, and studios.

Publisher revenue used to be simple: bring audiences to your site and monetize the visit. Not anymore.

Discovery now happens across platforms, feeds, and AI-driven environments—often far from owned properties. Audiences expect content to come to them, and publishers are left figuring out how to capture value wherever that attention lives.

This session explores how publishers are adapting—rethinking distribution, partnerships, and monetization to stay flexible (and profitable) in a fragmented world.

AI is being applied across every stage of the campaign lifecycle — from planning and forecasting to activation, optimization, and measurement.

Agency leaders will share how they’re using AI-powered insights and automation to improve performance across channels, connect workflows, and move faster from decision to execution. As these systems scale, the question isn’t just where AI fits, but how it’s reshaping how campaigns are built, optimized, and measured end to end.

Ad ops teams are under pressure to deliver more with a lot less. And the work isn't getting any easier. Drawing on experience scaling infrastructure across thousands of publishers, Jordan Cauley will share how AI is reshaping publisher workflows—from trafficking and troubleshooting to optimization and reporting. Where does automation fit into your day-to-day? And where does it fall short? You'll come away with tools and tips to make your team more efficient while freeing up time for higher-level work.

Attribution is all over the place—every platform claims the win, IDs are disappearing, and the same campaign can look like a hero or a flop depending on the dashboard. This session goes deep into incrementality, lift testing, and modern experimentation design, including how AI is enabling faster, more scalable measurement. We’ll cover what to test (creative, supply paths, audiences, formats), how to interpret results without fooling yourself, and how to turn learning into real media decisions.

AI is showing up in every pitch — but adoption tells a different story.

Digging into research across advertisers and publishers, Advertiser Perceptions sheds light on how AI is actually being used across creative, optimization, and activation — from generative AI and GEO to DSP-driven automation. They'll highlight how teams are adjusting to shifts in discovery, how much control advertisers are willing to hand over to AI-powered systems, and what’s slowing broader adoption inside organizations.

AI capabilities are accelerating across digital advertising — from planning and optimization to creative and measurement — but true adoption remains uneven. In many organizations, AI is present in tools yet unresolved in governance, accountability, and decision ownership.
This session examines how AI is reshaping the power structure of digital advertising before it is fully embedded. As automation expands, who controls configuration authority? Who defines acceptable risk thresholds? And how should leaders prepare for increasing tail risk in tightly coupled automated systems?

Attendees will explore the concept of a formal AI Decision Control Layer and learn why a strategy of “experiment, but fast follow” may outperform both hesitation and reckless automation. The goal is not simply to deploy AI — but to govern it in a way that protects margin, stabilizes risk, and strengthens long-term competitive advantage.

As targeting signals fade, context and creative matter more than ever for performance. Publishers are leaning into environments, formats, and attention mechanics to improve those outcomes. We’ll get into the weeds to learn how to design formats, placements, and shoppable experiences that work with AI‑driven creative systems. Plus, how feedback APIs help buyers optimize creative without compromising UX.

• An introduction to writing and implementing AI-driven scripts in a major DSP.
• Practical code examples for automating common programmatic tasks.
• A framework for developing custom automation to solve unique campaign challenges.

Marketers are using genAI to develop modular concepts, and then letting dynamic creative optimization (DCO) and multitouch attribution (MTA) decide what to serve, where, and to whom. Panelists will cover brand guardrails, approvals, and how to stitch together LLM-written copy, AI-edited video, and product feeds without creating Franken-ads that tank performance.

Publisher ad ops can’t scale on heroic effort and late-night fire drills. Teams are wiring ad servers, analytics, and consent tools into automated workflows that surface trafficking issues, yield drift, and anomalies early — with clear logs and overrides so humans stay in control. The result: fewer revenue leaks and fewer end-of-month surprises.