Data analytics show up for work

Users, integrators and suppliers agree the most useful measurements, signals and results are available at the right time and place — and they expect AI can help

Data analytics are only as good as the intelligence, usefulness and value they produce. Consequently, while it’s useful to crunch numbers, measurements, signals and other multiplying information sources in statistically sophisticated ways, simply organizing and delivering basic facts where they can have a positive impact is just as beneficial. As usual, a large part of success is simply showing up.

Installments

  1. International Paper adopts AI-assisted analytics: International Paper uses Seeq Intelligence’s Insight Boards feature to accelerate views about what’s happening and where to look in its containerboard mills.
  2. Choosing the one right (analytics) tools: System integrator Hargrove Controls & Automation compares the tools of the data analytics trades.
  3. Easier information extraction and coordination: Ink manufacturer DIC uses Yokogawa’s software to integrate product and quality data with information from its existing Centum VP DCS.
  4. OT analytics play catch up to IT tools: Infineum implemented Octave’s Tempo Operations Management to standardize its production reporting, and improve accuracy, communications and decision-making.
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