T he world of finance is inundated with data. Stock quotes, financial statements, news stories, social media posts, credit ratings, sentiment, model signals, transcripts and economic reports are but few of the sources contributing to the widening sea of information that financial professionals attempt to interpret daily. Fortunately, technology has taken on more of the heavy lifting with advanced tools such as artificial intelligence (AI) and machine learning (ML). Nonetheless, even with these solutions, an analyst still has his or her work cut out. A helpful analogy is the process of painting the inside of a home. Most of the painter’s time ...