AI requires “perfect” data to lessen the chances of faulty AI outcomes. Perfect data is, of course, impossible. But improved data quality via good data management is achievable.

Over the past few years, artificial intelligence (AI)—also known as machine learning (ML), cognitive computing, etc.—has become the Holy Grail of almost every business. According to the hype, it will revolutionise sales with advanced segmentation for customer acquisition, retention, and up-selling. It will optimise production systems and supply chains by anticipating problems and opportunities. It will drive trucks and fly planes. It will converse meaningfully with people, replacing many support staff. It will diagnose disease and provide personalised treatments and drugs.

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