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Adapt and Integrate: The Dual Dynamics of Fast and Slow Data
Navigating the evolving landscape of AI requires businesses to develop a framework for integrating their existing data into AI models. Key considerations include determining the frequency of data updates, the best methods of application integration, and the interface between fast data and slow data. Fast data relates to the rapid pace at which business decisions must adapt to changes, while slow data represents the more stable information that informs strategic planning. Understanding these dynamics is crucial for businesses to maximize the effectiveness of AI technologies, which demand high processing speed and can incur significant costs.