HUMAN + AI Interaction Science Lab ny

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AI has moved quickly in 2026, with new models, tools, agents, and approaches changing what businesses and technical teams can do. In this open discussion, we’ll unpack some of the developments, news, and ideas that have stood out this year. We’ll look at what’s actually changing across AI and technology, from Hermes and emerging tools to developments in how AI is being built and used. Bring something you’ve found interesting and join the conversation.

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In this session, we’ll take a practical look at the ecosystem.Ai Ontology tool through a live walkthrough. We’ll explore how technical consultants can use the tool to find industry-specific definitions, business logic, semantic models, and the technical foundations needed to build an ontology for a business. Using a real-world example, we’ll show how the tool can support the work that happens before development, from defining concepts and relationships to understanding the technical language and structure required.

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You've got your database schemas, your ERDs, your data dictionaries but how do you get from there to a working ontology? In this session, we'll unpack that question step by step. We'll look at where data models and ontologies overlap and where they diverge. Whether you're starting from an existing model or building both from scratch, this session will give you a practical framework for connecting structure to meaning.