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Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
Training Data
Master Data Management: The Path to Insight
Efficient data management hinges on the ability to distinguish between good and bad data, transforming unusable data into actionable insights. Once the data is cleaned, it must be made accessible for analysis through streaming and batch processing. Organizations vary in their AI readiness, and the workflow comprises several key steps: inputting data, making decisions based on that data, taking actions, and evaluating those actions against preset objectives. The initial phase of data preparation is critical, requiring significant effort to ensure the data is suitable for further processing.
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