AI vs. Automation: 6 Ways to Spot Fake AI

Director JP Baritugo offers quotable advice in this article about discerning whether solutions presented as AI meet the definition to be classified accordingly or if they are simply another form of automation. Sample excerpt: “‘In general, AI relies on models and algorithms to autonomously find patterns in the data (‘inputs’) to provide insights, predictions, and prescriptions (‘outputs’) that could have significant business impact,’ says JP Baritugo, director at business transformation and outsourcing consultancy Pace Harmon. ‘In contrast, automation is traditionally used for processes where the input data is structured, the rules are defined with manageable exceptions, and interactions with multiple systems are required. Automation use cases are predominantly task-oriented versus a true end-to-end process view.’”

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