Designing Inference-Native Systems
For a long time, the world has run on systems built on logic. You put something in, follow a set of rules, and you get an output. Now we have systems that can run on inference — systems that can update belief, decide, and act. That changes how we should think about building systems. We don’t need to keep forcing everything into rigid workflows. We can start designing systems that are built around inference from the onset. This talk is a thought process on designing these systems, drawing from principles in human-computer interaction, mathematics, and software design.
Sajjad Kamal
Sajjad Kamal holds a degree in Mathematics from the University of Waterloo. He has worked across large-scale technology and institutional environments, including Apple, BlackBerry, as well as government and hospital systems. His work has focused on building systems in constraint-heavy environments. He is drawn to startups, where systems can be designed from first principles. He has co-founded multiple ventures, including Beneple, AlemHealth, Coding Circle, and most recently OnSet Health.