In the latest Gartner® Research, “Get Ready For Data Management at the Edge: Key Considerations and Actions, ” we believe that IT and Data and Analytics leaders can build successful Edge strategies to ensure positive ROI.
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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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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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Advanced technologies like the Industrial Internet of Things (IIoT) can immensely improve food quality control measures and outcomes. In this white paper, learn how IIoT can help food manufacturers optimize production processes to reduce costs and waste, all while meeting—or exceeding—quality standards.
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Learn about the value that IIoT solutions bring manufacturing companies at the enterprise-wise level in this exclusive white paper.
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In this white paper, we explore how the changes of 2020 and 2021 are shaping the future of IIoT. You’ll discover what to expect going forward and how these trends are pushing Industry 4.0 forward so your company stays ahead of the curve.
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Improving reliability is often easier in concept than in execution. Reliability is tricky enough to improve in most industries, but paper and packaging manufacturers have their own unique challenges. Here’s how Industry 4.0 and IIoT help you pick up your reliability efforts where these tools leave off.
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As technology experts, we see organizations grapple with whether to build or buy their business intelligence apps. There are four key success factors when deciding on whether to build or buy BI applications: cost, security, scalability, and data democracy. Learn about the pros and cons of each solution in these areas.
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