HUMAN + AI Interaction Science Lab ldn

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.

This special follow-up episode builds on the foundation laid in Episode 1 of the ecosystem.Ai Technical Demo series. Dr. Jay van Zyl will continue to guide us through the core components of the Prediction Platform, taking a deeper look at critical elements such as the data architecture. We will extend our exploration of headless architecture, open-source collaboration, and the unique features that set our platform apart.

This session is ideal for business leaders, data scientists, and technical implementation specialists. It will further strengthen your understanding of how the Prediction Platform was originally designed, how it continues to evolve, and the various ways it can be applied.

This session takes you inside the project workflow in the ecosystem.Ai Prediction Platform. Follow the steps to transform hypotheses and raw data into successful AI solutions. We’ll explore the Workflow Canvas in detail, breaking down how each part contributes to a seamless, scalable AI process.

You’ll see how data, models, and project assets flow together to deliver measurable outcomes. This session is designed for anyone who wants to grasp the full AI pipeline using ecosystem.Ai and to understand how individual contributions align to the bigger picture.