8 Reasons AI Projects Fail

JP Baritugo, director, serves as a quotable resource in this article about common causes of failure for AI projects and how to prevent them. Sample excerpt: “‘Most digital journeys begin with a technology-first orientation, going deep into a solution’s capabilities [such as] confirming which machine learning libraries it uses,’ says JP Baritugo, director at business transformation and outsourcing consultancy Pace Harmon. ‘Instead, firms should first concisely articulate the key business imperatives it wants to address. Once defined, these objectives then drive and inform what digital and transformational interventions to pursue – including AI.’”

The Enterprisers Project