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    Useful and effective data analytics begin with matching the right tools to the right tasks
    Preparing Walls and Electric Elements For Room Painting by Covering by Blue Paint Tape.
    Analytics starts with identifying problems, goals, information sources and formats before insights can be produced
    Source: Nestlé and Aveva
    To make fluffier Nestlé Quik and Ovaltine, the company’s plant in Waverly, Iowa, recently partnered with Aveva, and transferred production data to its Connect, Historian and Advanced Analytics services to predict quality parameters, recommend optimal setpoints, and subsequently save 10% on powder. This graph shows the accuracy of AI calculations trained to predict product density compared to actual density found in the company’s lab.
    Nestlé plant in Iowa uses Aveva’s Connect, historian and advanced analytics services to make fluffier, powdered-chocolate products
    Showing translucent data visualization overlaying plant with stainless tanks,pipes,valves and motor. Industrial, manufacturing, data analytics, automation, engineering, digital interface, process
    Rotary equipment monitoring at 10 refining and other facilities at Reliance Industries in India evaluated and modeled 1,095 rotating assets, and found 406 faults
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    Industrial data analytics face hurdles from legacy systems, data silos, culture gaps and costs. Explore key challenges and share your insights in our survey
    Source: Varland Plating and Opto 22
    After updating its 30-year-old control and I/O infrastructure from Opto 22 to its newer groov EPIC controllers, I/O channels and GRV-CSERI-4 serial modules, Varland Plating’s electroplating plant in Cincinnati, Ohio, developed homegrown historian software with Opto 22’s open-source-friendly REST API, visualizes and contextualizes data using Grafana’s open-source monitoring platform, and performs custom data collection with Ignition web-based SCADA software.
    Varland Plating’s plant developed homegrown historian software, visualizes and contextualizes data, and performs customized data collection
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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
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    British Sugar adds Seeq’s AI Assistant to dashboards, so it can ask them questions
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    E Tech streamlines analytics for CPG and data center clients