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I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.
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That definition was well ahead of its time and forecasted the current era’s machinelearning and generative AI capabilities. One reason CEOs restructure new digital, data, AI, or experience departments with separate C-level leaders is if IT is underperforming and the CIO isn’t driving transformation.
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That’s when P&G decided to put data to work to improve its diaper-making business. Data-driven diaper analysis During the diaper-making process, hot glue stream is released from an automated solenoid valve in a highly precise manner to ensure the layers of the diaper congeal properly.
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