HUMAN + AI Interaction Science Lab ny

Marketing is changing fast and personalization is no longer enough. It’s time for dynamic hyper-personalization powered by AI. In this discussion, we dive into how modern marketers are using machine learning to not just segment, but continuously learn from and adapt to customer behavior across industries.

We’ll explore new frameworks for understanding preference shifts, intent prediction, and campaign responsiveness, without being trapped in outdated rules or rigid personas. Discover how AI is enabling real-time learning loops, where your messaging evolves as quickly as your customers do.

Join us for the opening session of the ecosystem.Ai Demo series, your entry point to building and deploying practical, enterprise-ready AI projects. In this kickoff episode, we’ll introduce the series agenda and guide you through the learning journey ahead.

We’ll discuss the ecosystem.ai Prediction Platform and Workbench, a space where data scientists, ML engineers, and developers can design, build, and scale AI projects with confidence. This session equips you with the roadmap and the context to get the most from every upcoming episode.

This session explores how your Spend Personality shifts over time, influenced by life stages, emotions, and social rituals like holidays and paydays. We’ll connect behavioral science to customer engagement, showing how Spend Personality can be a gamified, dynamic tool for building healthier financial habits.

As customer personalities evolve, recognizing personality drift becomes critical. This allows organisations to distinguish between normal changes and signs of churn or financial distress. By understanding how spending behavior changes across the customer lifecycle, businesses can drive more meaningful, timely interactions.