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Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Image: garrykillian/Adobe Stock ...
The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population ...
Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.
Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.
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