To compete in the agentic AI era, publishers need to innovate and develop new workflows, products, and user engagement strategies. AWS Publishing Symposium presents success stories from leaders who have solved for challenges in a rapidly evolving media landscape - offering actionable insights around AI strategy, personalization, content monetization, and ad tech operations. The agenda is focused on customer-first approaches that drive business value quickly, helping you gain and retain competitive advantage.Â
 The AWS Publishing Symposium brings together publishers to explore three key issues:
The symposium is geared towards publishing decision makers in charge of improving user engagement, monetization, innovation, and editorial efficiency.
Key roles include Publishers, Editors in Chief, Chief Product Officers, Chief Content Officers, Chief Marketing Officers, Chief Technology Officers, Chief Information Officers, Chief Executive Officers, Chief Revenue Officers, and Chief Innovation Officers.
Users are turning to Answer Engines and AI Agents to get information and complete tasks while bots scrape publisher websites to train models and answer queries. The panel will explore how publishers can monetize their content in the emerging AI ecosystem. Topics include AI-driven ad strategies, the future of SEO, content protection, pay-per-crawl, content marketplaces, and content licensing.
In the AI era, publishers need to foster direct relationships with users to build engagement and increase total lifetime value. Topics include hyper personalization, managing and activating first party data, and engaging users with new products, content modalities, and experiences, including videos, live events, social media channels, apps, and newsletters.
Publishers need to develop new products, business models, and user engagement strategies to respond to the rapid evolution of the industry. The panel will discuss how publishers are becoming more agile and innovative through new technologies, organizational structure, and workflows. Topics include using generative and agentic AI to produce content and products more quickly, creating new user experiences, and changing internal processes to foster experimentation.
