HUMAN + AI Interaction Science Lab ny

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Behind every intelligent system is a structure that defines how concepts, relationships, and meaning fit together. In this session, we explore the role of ontologies in AI and how they help systems move beyond pattern matching to understand context, connect information, and make better decisions. Our team will unpack how ontologies underpin system generation, influence architecture design, and connect directly to the principles behind EcosystemCode, where structured knowledge is transformed into working software.

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Replacing enterprise software isn't just about cutting costs, it's about owning what you build. In this session, we explore how to generate a full-stack system from a plain-English description of how your business operates. Using EcosystemCode as a practical example, we'll examine how ontologies, reusable components, and AI-assisted development are changing the way enterprise systems are created. We'll cover how domain modelling locks in your architecture before a line of code is written, how the output deploys on your own infrastructure, and what it means to own your system outright. We'll also look at how this approach eliminates recurring licence fees without the risk of a custom build from scratch. Join us for an open discussion on reducing complexity, accelerating delivery, and what software ownership means in practice.

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Fraud is more than a financial problem. Every successful attack weakens customer trust and increases the likelihood of churn. In this session, we'll explore how SIM swap fraud and account takeovers are affecting MVNOs and MNOs and why traditional rule-based approaches often struggle to keep pace. We'll discuss how AI, behavioral analysis, and real-time decisioning can help operators identify suspicious activity earlier, reduce false positives, and protect customer accounts. Join us as we examine how fraud prevention can become both a defensive strategy and a competitive advantage.

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Launching an MVNO is only the beginning. As operators grow, they face a series of challenges around customer acquisition, engagement, retention, and profitability. In this session, we explore the four stages of the customer journey with an MVNO and the obstacles that emerge at each point. From standing out in a crowded market to reducing churn and creating new revenue opportunities, we'll examine practical strategies that help MVNOs compete more effectively. Along the way, we'll discuss how AI, personalization, and predictive decisioning can turn common challenges into opportunities for growth. Based on trends shaping modern MVNOs and the growing need for differentiation and customer intelligence.