Cimcon Digital

Data and analytics are the two most important and critical components of Digital Transformation. Data is the new game-changer and according to the latest reports, data-driven organizations are 19 times more likely to be profitable. According to Gartner, a leading technology research and consulting company, 72% of Data and Analytics leaders are heavily involved in Digital Transformation initiatives. But considering the huge amount of data being generated, the analysis of the same becomes a difficult and hefty task. This leads to the introduction of AI & ML techniques to reduce the human effort involved and make the data analysis less tedious and time-consuming. International Data Corporation( estimates that global budgets for Artificial Intelligence will double over the next four years, to $110 billion in 2024. “Companies will adopt AI — not just because they can, but because they must,” IDC’s AI program vice president, Ritu Jyoti noted. “AI is the technology that will...

  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...