Tuning and maintaining algorithms: The Achilles' heel of AI projects

People love to talk about artificial intelligence tools' potential to make content management and CRM work easier, better and more efficient. What isn't highlighted by industry insiders or in artificial intelligence (AI) product marketing is that, sure, technology can effect beautiful automation that can eliminate low-skill jobs and create cost efficiencies CFOs only dream of. But AI can't accomplish these benefits on its own. AI projects require continuous human monitoring, or its results degrade into something at best irrelevant to the business and at worst detrimental to business goals and harmful to customers. Experts attending OpenText's Enterprise World 2017 user conference here cautioned that companies considering AI projects must also factor in the cost of employing humans -- data scientists, specifically -- to keep their hands on the AI tiller and reel them when necessary.