In today’s world, where people live their lives out through social media, the opportunity to gain insights from the mil‐ lions of words of text being produced every day has led to an arms race. New tools allow for developers to easily create models that understand words used in the context of their industry. This leads to better business decisions and has resulted in a high stakes competi‐ tion in many industries to be the first to deliver.
Strikingly, 90% of the world’s data was created in the past two years, and 80% of that data is unstructured. Insights valuable to the enter‐ prise are hidden in this data — from emails to customer support discussions to research reports — incredibly useful information if it can be found, interpreted, and then utilized. When an enterprise can harness this massive amount of unstructured data and transform it into something meaningful, there are endless possibilities for improving business process, reducing costs, and enhancing prod‐ ucts and services.
Alternatively, those companies without the ability to handle their unstructured data realize lost revenue, missed business opportuni‐ ties, and increased costs, all likely without their knowledge of it hap‐ pening. Interpreting this unstructured data is quite difficult. In fact, process‐ ing human-generated (not machine) words (or natural language) is considered an AI-hard or AI-complete problem. In other words, a challenge that brings the full effort of AI to bear on the problem and isn’t easily solved by a single algorithm designed for a particular pur‐ pose.
AI & Machine Learning mempelajari Customer Behavior secara otomatis & sistematis, sehingga bisnis dapat meningkatkan pelayanan dan produk yang tepat.