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Book Overview & Buying
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Table Of Contents
The Chief AI Officer's Handbook
By :
In the quest to harness AI’s transformative power, businesses often navigate a labyrinth of data-related challenges. These challenges can range from the initial stages of data collection to the complexities of data management, ensuring data quality, maintaining data integrity, and effectively leveraging the vast seas of big data. If not appropriately addressed, these pain points can significantly impede the success of AI initiatives.
One of the first hurdles is data collection. Many organizations, especially in manufacturing, operate with legacy systems never designed to produce the rich, granular data that modern AI applications require. Machines might be decades old, generating minimal and often incompatible data. For example, a manufacturing plant may have hundreds of machines from different eras and manufacturers, leading to various data formats and standards. This makes it incredibly...
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