Data AI and CMO Think Tank

As artificial intelligence continues to evolve from predictive analytics and copilots to autonomous, decision-making agents, enterprise leaders are facing a new architectural reality. Agentic AI has the potential to transform how organizations operate accelerating decision-making, automating complex workflows, and unlocking entirely new business models. But realizing that opportunity requires more than deploying new models; it demands an enterprise architecture built for intelligence, interoperability, security, and scale.

In this session CIOs, CTOs, CISOs, and architecture leaders will jointly explore both the opportunities and challenges shaping the next era of AI. From modernizing data foundations and enabling secure agent-to-system interactions, to avoiding vendor lock-in, managing governance, and ensuring operational resilience, this discussion will focus on how enterprise architecture must evolve to support AI that not only informs the business but increasingly acts on its behalf.

Search didn’t break. It fragmented – and in doing so, it rewrote how decisions are made. What used to be a linear path is now a distributed system. Users move across all of it without friction and without loyalty to a single channel. And most marketing strategies aren’t built for this new reality. Your brand is now being discovered — and decided on — across systems you do not control. Which means you’re no longer just competing for attention. You’re competing to be surfaced, summarized, and trusted. This session breaks down the new rules of discoverability — and what brands must do now to stay visible where decisions are actually being made.

As AI becomes embedded across every layer of the enterprise, organizations are rethinking how critical decisions are made, who makes them, and how quickly they can act on insight. The future of competitive advantage will not come from human expertise or machine intelligence alone, but from the ability to combine both at scale. Join senior executives for an exclusive discussion on how leading organizations are integrating AI-driven insights with human judgment to improve decision-making across operations, customer engagement, risk management, and innovation. Together, we’ll explore how to build trust in AI, establish the right governance and accountability frameworks, and create a culture where humans and intelligent systems work together to drive faster, smarter, and more strategic business outcomes.

The pressure to balance speed and safety in production software is an ever growing issue that developers must constantly manage. Come learn how LaunchDarkly's release platform can help you move faster and safer with control at runtime. 

Every brand has a story it tells about itself. The question is whether anyone outside the building believes it. In an era of radical transparency, peer reviews, and AI-generated alternatives, customers are forming opinions faster than brands can shape them — and often without ever engaging with official messaging at all. This session challenges the assumption that brand is something you build and control, and asks what actually drives preference, loyalty, and choice when the traditional levers no longer reach. If brand as we know it is becoming an internal fiction, what replaces it — and who owns it?

When Amplitude built its own AI agent, it ran into a problem it didn't expect: a decade of analytics expertise and none of it applied. Sessions looked healthy. Funnels said "activated." Users were furious.

This talk is about the gap between traditional product analytics and what you actually need to build and improve AI agents. We'll cover why non-deterministic products break conventional observability, what it means to measure agent quality at scale, and how connecting agent interaction data to downstream business outcomes (retention, conversion, churn) changes how you think about AI ROI. We'll share what we learned building Agent Analytics from the inside, including the failure taxonomy, online eval framework, and the finding that users with high-quality agent sessions retained at 2.3x the rate of those who hit task failures.

If you're shipping agents and relying on gut feel and scattered logs to know if they're working, this talk is for you.

The marketing org is being dismantled and rebuilt in real time. Entry-level roles are disappearing as AI absorbs execution work. Senior roles are being rewritten around judgment, strategy, and AI fluency. And the titles that didn't exist two years ago — Creativity Leads, AI Architects, Prompt Strategists, Brand Risk Officers — are now showing up in job descriptions. Leaders name what they have cut, what they have transformed, and what they are building from scratch. And they face the question nobody wants to answer out loud: if the junior bench disappears, where do tomorrow's CMOs come from?

As AI rapidly evolves from dashboards and predictive analytics to generative and agentic intelligence, leaders across data, marketing, and customer experience are being challenged to rethink how their organizations create value, manage risk, and compete in real time. The role of the modern enterprise leader is no longer centered on reporting and insights alone — it now requires building trusted data ecosystems, enabling AI at scale, ensuring responsible governance, and turning intelligence into measurable business action. Join senior data, AI, marketing, and CX executives for an exclusive discussion on how leading organizations are modernizing their strategies, operationalizing AI across the enterprise, and balancing innovation with security, cost, and accountability in an increasingly autonomous digital economy.

The tension between brand and performance has defined marketing debates for a decade. But the CMOs winning today have stopped choosing sides — they own the full loop. This session explores how the best marketing leaders are connecting brand investment to demand generation to revenue outcomes, without sacrificing long-term positioning for short-term numbers. The conversation focuses on what it actually takes to make brand and revenue speak the same language inside an organisation — and how AI-driven attribution and mixed-media modeling are finally giving the CFO answers the CMO can defend.