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    Addressing employee skepticism through targeted training and demonstrations of successful AI applications builds trust and highlights the importance of data validation and traceability...
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    With tools like DataMosaix, engineers can centralize their data management, providing better visibility and driving improvements across key operational metrics
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    Control's monthly resources guide
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    Useful data analytics requires infrastructure, intelligence, digitalization, standardization, containerization, flexibility and content—and artificial intelligence, too
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    Fluke’s Azima subsidiary standardizes and automates diagnostics, and uses AI to sort through results
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    Hargrove acquires data from advanced smart devices
    Artificial intelligence models are only as good as the data used to train them
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    Generative AI offers new possibilities for advanced analytics, but users must evaluate readiness before diving in
    Quantifying Lost Manufacturing Time
    In part one of this two-part series, agrochemicals producer Syngenta shows how it used Seeq software to identify production losses, and increase efficiency and profitability
    The Usual Analytics Software Suspects
    An updated but incomplete list of the primary data analytics software packages and tools
    Figure 1: As part of its self-service analytics program, Parkland Corp.’s Burnaby refinery near Vancouver, B.C., adopted Seeq’s data analytics software to filter years of datasets for its main air blower, and identify anomalies in one hour instead of 40 hours. It’s also assessing inferential models by using Seeq’s Capsules and its DCS’ indicator function to automatically align sample timestamps for lab results and predictions, and enable them to quickly perform residual calculations for models of many processes at the refinery. Source: Parkland and Seeq
    Parkland’s Burnaby refinery near Vancouver, B.C., uses Seeq software to filter data, measure models and solve other problems
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    How a manufacturer of active and stabilizing ingredients is using data analytics to identify hidden deviations and address them at the time the deviation occurs, rather than at...