Machine learning and Artificial Intelligence (AI) are the talk of the town and the topics were a part of the broader trend at the recently concluded Taxonomy Bootcamp, London. Therefore, it is reasonable for enterprises and people to conclude that these emerging technologies are smart enough to function without human intervention. In fact, there are many who believe that as soon as you deploy these technologies in enterprises, magic happens. Agnes Molnar, CEO and managing consultant of Search Explained, examines the truth beyond the hype within the context of intelligent search.
Human intervention is necessary for AI technologies to perform their magic. That is the reality. For instance, how can algorithms churn out relevant results if the quality of the content is poor? How can one determine if intelligent search is intelligent enough? How will you know that the answers provided by the “intelligent” chatbot are what the users are actually looking for? What this means in practice is that enterprises have to be smart enough and do the required planning to help these intelligent tools further help users and enterprises. For that to happen, enterprises need strong taxonomies, training sets, and an in-depth understanding of the content before introducing the tool.
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