Financial services organizations (FSOs) today collect and maintain an abundance of data, both structured and unstructured. For most of these organizations, data can be a double-edged sword. Collecting and maintaining increased amounts of data related to customers and portfolios can provide tremendous opportunities to increase revenue and reduce risk, yet at the same time, too much data can be a cognitive drain on analysts and knowledge workers. Increasing stores of data require FSO stakeholders to organize and search their data in ways that allow analysts to extract meaningful insights. Artificial intelligence (AI) can help FSOs mature from being data-driven to being information-driven. Enabling knowledge workers to efficiently derive meaningful information and insights from big data is what transforms FSOs into information-driven organizations.