Join MSIGHTS at the 2026 ANA AI and Technology for Marketers Conference
September 23-25, 2026 | Washington, DC
The 2026 ANA AI and Technology for Marketers Conference explores the gap between AI experimentation and enterprise-scale value. This event brings together senior marketing and technology leaders to examine how intelligent orchestration and workflow redesign can transform customer experiences while maintaining the governance necessary for sustainable growth.
About The Conference
This conference serves as the premier forum for leaders navigating the rapid evolution of AI-driven marketing systems. Discussions will focus on moving beyond pilot projects to achieve real-world impact through intelligent orchestration, scalable personalization, and the modernization of Martech stacks to support next-generation consumer engagement.
Key themes include the critical need for organizational readiness and the governance models required to manage connected platforms and teams. Experts will share case studies on streamlining complex environments, ensuring that technological ambition is always paired with accountability and measurable business results in a data-first world.
We're Excited About
- The Necessity of Metadata for AI Orchestration. AI can only orchestrate what it understands. We’re excited to discuss how a structured metadata layer provides the essential context AI agents need to turn fragmented campaign data into meaningful, automated insights that drive faster decision-making.
- Driving Data Readiness Through Daily Operations. Success in AI-enabled marketing is a byproduct of disciplined data operations. We look forward to sessions on eliminating manual friction to ensure that marketing intelligence is "decision-ready" every day and capable of feeding AI systems reliable information.
- Accountability Across the Data Value Chain. As AI takes on more complex tasks, the need for "trust but verify" transparency has never been higher. We are eager to explore how a high-accountability partner can unify people and platforms to maintain objective oversight across the entire data ecosystem.