The rise of decision intelligence: AI that optimizes decision-making

Today, doing more with less is a key principle that drives business strategy across many resource-intensive industries. Businesses are looking to get a higher return out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify complex decisions around how scarce resources should be allocated, how to schedule tasks, and how to deal with constraints. As Alex Fleischer points out in his blog, a recent Enterprise Strategy Group (ESG) technical validation report cites the need to improve operational efficiency as the overarching theme driving AI and ML interest. To learn more, I sat down with Virginie Grandhaye, offering manager for IBM Decision Optimization.