When it comes to the Industrial Internet the essentials are about managing and monitoring production. At the heart of this management are processors that are designed to manage repetitive actions. This session looks at how Industry 4.0 is looking to revolutionize production.
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Taking a broader view of Industrial Controls we discover that their processing capabilities and coding is designed to be simple and not to be communicative of all but the essentials of production. Many companies are augmenting these systems with sensors to improve the business processes and gather real – time information. This session looks at how IIoT is expanding the knowledge of production.
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The IoT market in South America is projected to bypass $19 billion by 2023, according to a market research report published by P&S. The region's IoT boom is largely attributed to the number of governments increasing their efforts across the region and the development of smart cities across the continent. How are major organizations in this region preparing for and contributing to the flourishing South America IoT market, and how is the global IoT market responding?
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Managing Production is the focus of Operations, reporting on production is the focus of IT. The result is that one looks at the means to the end while the other looks at the end result. This often materializes in a failure to communicate effectively. How does IoT enable better understanding between the departments to improve production, planning and profit?
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It’s one thing to gather “Big Data”, it’s another thing entirely to determine how to find the relevant data and put it to action. This session is about how analytics can bring insight and measurable improvement when using IoT to gather, deliver and execute.
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The justification for expanding services in manufacturing requires more customer insight. This discussion is about where to find the value and how to deliver services customers need.
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Within the factory, assets and inventory can be tracked with sensors, allowing for better accountability and product management. From there, industrial IoT allows the business to look at almost all components of the operation–from employees to forklifts–as assets that can provide opportunities for revenue growth if managed correctly. Using intelligence as part of the product development IoT model can also have an impact on development of processes, changing how products are innovated and built.
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This session will focus on two separate real life cases of Predictive Maintenance. In both cases we enabled industrial customers to improve the technical availability of their machines and robots. The presentation will detail steps and issues resolved in developing the Data Lake and the required Machine Learning algorithms that enable corrections and improvements to industrial controls. By combining traditional Engineering approach (FMEA, RCM and Kaizen) with the Machine Learning approach (full data set analytics and multivariate correlation analysis) a Digital Twin is developed. This impact the specific manufacturing process that is way more reliable and predictable than what could be done in the past just with the Engineering approach. As these approaches continue to develop AI becomes a reality.
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Everybody has critical and hazard prone assets, but how many of us are compliant for safety and best performances all the times? How do you handle escalations in the value chain? FOG Edge computing IoT is a great approach. EKATRA will show 2 case IoT studies to Reduce the Overhead of Staying Compliant in several fuel deposits and even nuclear plants.
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