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Disruption of business and social norms have accelerated the use of AI to help mitigate COVID's impact. Indexing and organizing critical data, such as images that contain body temperatures for symptoms of COVID-19, social distancing information, or monitoring mask use, can provide valuable insights for increased understanding and better decisions. Beyond the immediate use cases, computer vision and data organization are helping to drive increased automation across the manufacturing industry by discovering defects in the production line and reducing manufacturing errors. This case study explores how the organization of this data,through the use of Spectrum Discover, is used to index and classify data in real time for the AI journey and integrate valuable insights into IBM Cloud Pak for Data. Register here!