To Create Value with AI, Improve the Quality of Your Unstructured Data

To improve how businesses use unstructured data, leaders should follow a series of steps that begin by addressing unstructured data quality issues, identifying and assessing the data to be used, and assembling the right team to manage it all. From there, the team should prepare data using human sources as well as large language models. The application you develop should be tested until it works, and all learnings should be applied and adopted to future content generation efforts.