Artificial Intelligence (“AI”) may be a highly-hyped technology, but in the world of social listening and analytics, it is poised to become the most powerful innovation the industry has seen over the last decade.

AI, or more specifically machine learning, can learn from human input and with enough proper training, can approximate (and sometimes exceed) human performance without explicit programming. As Dr. Philip Resnik, a Professor of Computational Linguistics at the University of Maryland (and Converseon advisor) says: “computers simply don’t have the brains to handle some tasks, unless they borrow ours.”

This is why AI is essential for effective language analysis. Indeed, the power of AI to analyze even nuanced text-based conversations at massive speed and scale to accurately collect critical business insights has made tremendous strides over the past few years. Yet the broad use of these technologies in the areas of social listening and analytics largely remains in its infancy due to several factors. One has been the uneven availability of the most effective technologies combined with user confusion on which technical approaches are most appropriate to specific needs. This is compounded by the fact that if you are also like most organizations, there has historically been a dearth of “AI experts” available to you to help guide decisionmaking and vendor selection in this area….

 

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