Fundamentals of Natural Language Generation in Business Intelligence
The AI in Business Podcast
English - March 19, 2017 03:00 - 33 minutes - 31.1 MB - ★★★★ - 101 ratingsTechnology Business Management artificial intelligence learning data digital machine science transformation Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
You might be aware that some of the articles online about sports or financial performance of companies are article written by machines; this machine learning-based technology is the burgeoning field of natural language generation (NLG), which aims to create written content as humans would—in context— but at greater speed and scale. Yseop is one such enterprise software company, whose product suite turns data into written insight, explanations, and narrative. In this episode we interview Yseop's Vice President Matthieu Rauscher, who talks about the fundamentals of natural language generation in business, and what conditions need to be in place in order to drive key objectives. Rauscher also addresses the difference between discover-oriented machine learning (ML) and production-level ML, and why different industries might be drawn to one over the other.