This session focuses on how an AWS customer created a data lake and used machine learning services to analyze and search massive amounts of historical unstructured data. The Municipal Securities Rulemaking Board modernized their analytics platform by using a combination of machine learning natural language services, free-text search capabilities, and optimized storage services to extract information from stores of data without labor-, cost-, and time-intensive processes. The result astonished Board of Directors, who saw the potential of leveraging the cloud to generate tremendous and transformative value for the municipal securities market.