The four approaches sit along a spectrum
On one end, we find tactical and operational decisions, which tend to be highly automated. On the other end, we find more strategic and creative decisions which tend to involve increased human interaction. What binds all of these together is an augmented approach that emphasizes human learning at every level.
A scalable system that interacts with it’s environment to optimize / personalize virtually any decision.
A flexible optimization toolkit bringing mathematically optimal results to resource constrained situations.
An interactive R&D process between AI and experts to enable speed and quality in product development.
An approach to codifying & simulating scenarios, building robust and transparent strategies.