While a number of narrow solutions have been developed for very specific types of equipment, there are ways to build both data visualisation and analytics apps that can deliver a range of assets’ data into a framework where additional context can be incorporated. This approach means information can be presented both to people in operational or troubleshooting roles and to machine learning tools that can chase ever-more-elusive incremental gains in reliability and stability. The key is balancing what style of information presentation can rapidly make people more effective – rather than solely focusing on purely technology-driven solutions aimed at predictive insights.
This session – hosted by Novotek UK & Ireland – will be of interest to manufacturing and utility leaders tasked with reducing operational, environmental and health/safety risks associated with asset breakdowns. Students and recent grads keen to understand a practical application of data visualisation or analytics may also be interested.