R&D waste persists because companies apply AI to execution rather than decision support. Over a third of organizations lose 25 to 40 percent of their R&D budgets on failed projects, with late-stage kills costing upwards of one million dollars each. The report highlights that improving early-stage intelligence and feasibility analysis provides the highest return on investment.
Opening Kapyn…