While there are plenty of examples of “best practices” for your IIoT implementation, these five less-obvious approaches may be the key to helping your implementation go smoothly.
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The smart factory is no longer a thing of the future. For many manufacturers, it is the reality now. The growth of augmented analytics and Machine Learning in manufacturing has made way for a new Data Scientist in the factory.
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While initiating a digital transformation strategy is a big step, it’s only the first step. In this white paper, you’ll learn the five key elements to build a long-term Industry 4.0 roadmap.
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Continuing to find new ways to improve operations requires increased creativity, capacity, and access to critical data. Industrials use Machine Learning to identify opportunities to improve OEE at any phase of the manufacturing process.
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Often we are asked if industrials should start their digitalization efforts with a cloud or edge solution. While there’s no universal truth, this video dives into what to consider before building your Industry 4.0 roadmap.
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Discover how the Cargill team is now empowered to analyze 50% faster and create more recipes every single week.
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Avril’s implementation of Braincube led to better sales and storage forecasts, the implementation of individualized dashboards for employees to track relevant KPIs, and the autonomy needed to make improvements in continuous based on changing business and economic needs.
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Presenting a new tool or procedure to your management team often results in resistance, ranging from lack of funds to an unclear return on investment (ROI). Here are some helpful tips for building a convincing case for your executive team to bring an IIoT digital transformation tool to your business strategy.
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Before you begin an IIoT pilot program, learn more about the different solutions provided by different types of IIoT vendors. Selecting an IIoT solution that aligns with your business goals is crucial for digital transformation success.
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Learn more about how Braincube helps manufactures take control of their data and transform their operations. Take your siloed data and turn it into clean, actionable information.
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Dive deep into your processes to uncover hidden improvement opportunities. Detect patterns, prevent downtime, and reduce costs.
