AI & Machine Learning, Data

Ensuring high levels of asset reliability is a common challenge across all industrial sectors. Poorly performing equipment can put people, the environment, and the bottom line at risk.

 

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.

 

Improving Industrial Asset Reliability – Data Visualisation and Analytics
28th Sep 2021 10:30am - 11:15am
Hosted by Novotek UK & Ireland

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