We’ve spent decades designing software and organizations around control: plans, rigid frameworks, and repositories of artifacts. But knowledge work isn’t static. Meaning shifts as contexts change, as teams adapt, and as human and machine intelligence co-create new possibilities.

We are no longer architecting linear pipelines and transactions. We are architecting asynchronous systems in which people and software must think well, together, in real time.

In this keynote, Diana Montalion (author of Learning Systems Thinking and Knowledge Flow) introduces Emergent Meaning Architecture (EMA): a design paradigm for building sociotechnical systems that don’t just store information – they enable meaning to emerge, evolve, and flow. EMA reframes architecture from rigid structures to living systems of relationships—where temporal intelligence, collaborative practices, and human–machine feedback loops make knowledge usable in real time.

Through stories and real-world, hands-on practices—from eventstorming to concept calibration—you’ll learn how to design systems that cultivate shared understanding, adaptive intelligence, and resilient action. And, you’ll enjoy knowledge work more as you move off the assembly line.