
Industrial AI needs to know when and where production events happen—for example, to track scrap metal on its journey to becoming a finished coil of steel as it moves through a mill. Platforms like SQL and Hadoop are poorly suited to this task because they lack the ability to track time and place of materials in a production process. Thus, the journey to a smart factory requires a complete rethinking of how information is captured from sensors on manufacturing equipment. To read more please download this whitepaper…
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