Cimcon Digital

  The real value in Industrial IoT is that it can provide a lot of insights and foresight from sensor data, in real-time, at the edge that can then deliver new outcomes. Combining context can provide visibility on how assets and processes perform in manufacturing units. Leveraging real-time data can provide a true “what if” scenario to various stakeholders. This actionable intelligence can help reduce the cost of operation, Increase revenue by delivering new outcomes to customers, and increase efficiency and productivity. Access to unprecedented volumes of data and the incurred valuable insights are critical factors for a competitive manufacturing business. In the manufacturing environment, the integration to sensor data is not straightforward; however, Smart Manufacturing use cases demand real-time and historical sensor data to generate meaningful analytics; Artificial Intelligence (AI) and Machine Learning (ML) applications demand computing near the source of data generation. The...

  In 4 years, more than 30% of businesses and organizations will include edge computing in their cloud deployments to address bandwidth bottlenecks, reduce latency, and process data for decision support in real time. Edge computing accomplishes this by bringing the businesses’ computational processes closer to the data sources, increasing the speed of these actions. Additionally, even if a single node is unreachable, the service should still be accessible to users. In this way, edge computing promises to deliver Internet of Things (IoT) reliably and speed while taking more care of security, data privacy.   What’s more, 69% of organizations say that prioritizing edge-based analytics will improve their ability to meet IoT objectives for specific use cases. Industries including Manufacturing, Water & Wastewater, Utilities and Building, are implementing hybrid strategies to enable real-time analytics such as Machine Anomaly detection and diagnostics, Quality Analytics, ...

Just like you visit the doctor, your industrial equipment needs a system to monitor its health. Last week, I visited a doctor for a throat infection. The doctor checked my body temperature, blood pressure, and oxygen saturation level. Then he asked me to open my mouth to see the severity of the infection in my throat. The doctor also asked me few questions to get more contexts about the infection: When did you consume any cold drinks or ice cream last week? Did you notice this infection after consuming them? Do you smoke? Also, the doctor looked through my medical history on his iPad. Finally, he was able to prescribe the right medicine to help me heal quickly.   After I left his clinic, I could not help but think about the analogy between how the doctor diagnosed my throat infection and how service engineers in an industrial environment analyse the health of industrial equipment and evaluate their performance. After all, I am an engineer to the core!   Here, my ques...