Artificial intelligence is better at de-risking program schedules than the lived experience of seasoned project teams, according to a London-based start-up that recently secured work on an $11 billion-UK railroad program. The company is not alone in harnessing AI in the quest for predictable project outcomes.
The currently dominant team-based quantitative schedule risk analysis (QSRA) method "produces generally inadequate results and take 10 times longer," claims Dev Amratia, CEO of the start-up nPlan.