Edge analytics is a vital component of manufacturing’s 4.0 landscape with many viable, unique use cases. Explore key Edge analytics examples within the manufacturing ecosystem by looking at use cases in CPG, Paper and Packaging, and Beverage production.
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Edge analytics is the process of adding intelligence—such as visualization or alerting—to Edge data. Get answers to your top questions about Edge analytics in this introductory article, including how it works and the value it brings your organization.
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Download this complimentary infographic to learn how Digital Twins help different teams within your manufacturing organization, ranging from the shop floor to the C-Suite.
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Autonomous technologies put data in your employees’ hands that they can use to work faster, more effectively, and with greater impact. Learn more about the autonomous technologies transforming the manufacturing landscape today, including Machine Learning, Artificial Intelligence, and more.
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Still planning your digital transformation? Here are three critical gaps to address that prepare your teams for Industry 4.0, boost your project’s success rate, and require no outside resources.
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Predictive maintenance technology is helping manufacturers reduce unplanned and unnecessary downtime to improve their bottom line. Learn what technologies to use and how to implement a predictive maintenance strategy in this white paper.
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IIoT Platforms and self-service analytics applications make it easier to anticipate and reduce unplanned downtime. Learn how in this white paper.
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Computer vision AI is no longer just buzz. It is being leveraged by manufacturers globally to automate and scale quality processes to decrease defects and improve customer satisfaction.
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Using Braincube’s Smart IIoT platform, Digital Twins, and Business Intelligence Applications, ofi’s teams quickly uncovered key findings that resulted in a wide array of wins ranging from a perfect quality score to improved customer satisfaction.
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As more oil and gas companies gear up for Industry 4.0 in the wake of COVID-19, it’s important to reflect upon the industry’s current state of digitalization. How did we get here and where are we going?
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