Predictive Maintenance

The intent of this discussion is not to describe the value and virtues of moving from reactive or time-based maintenance to predictive maintenance, but to provide information on the application of IIoT and AI (particularly machine learning) to achieve true, valuable predictive maintenance.

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Bringing AI to Pharma 4.0

It is not the big fish that eats the small fish, it is the fast fish that eats the slow fish.

-Klaus Schwab, Founder and Executive Chairman, World Economic Forum, 2017

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Smart Manufacturing

The key business objectives achieved with Smart industry are increased productivity, enablement of agile and flexible manufacturing to produce highly specialized and personalized products at scale, and efficiency. These…

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Closed-loop AI Key to Transformational Impact

AI systems are becoming available that automate many of the machine learning tasks that could previously only be performed by experienced data scientists. Using these OT-focused AI platforms, engineers and manufacturing subject matter experts can widely apply AI to develop these next generation value control systems. AI applications built by these subject matter experts, just like any other APC will make adoption of AI and the related benefits widespread and mainstream. Highly interpretable and explainable AI is also becoming available to increase the trust and confidence in closed loop AI.

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