Machine learning and Big Data offer massive potential
Marianne Culver, President of RS Components, looks at the short- medium- and long-term impacts of Big Data and how it can be exploited for machine learning and Artificial Intelligence. Just a few decades back, the defence industry was quick to exploit the potential of intelligent machines and systems that could use in-the-field data in order to ‘think for themselves’; primarily to make simple, fact-based decisions that removed the workload from human operatives. This concept of data-based machine learning and Artificial Intelligence (AI) is now seeing much wider deployment in civilian applications too – with many of us not actually realising that we are the information sources creating the data upon which these systems base their decisions. Leading tech firms, such as Google and Netflix, regularly leverage huge amounts of on-tap user-specific data to feed algorithms that ultimately help them streamline and enhance their customer offerings. Replace the term ‘user-specific data’ with ‘machine-specific data’ and it quickly becomes clear that Big Data and machine learning have the potential to revolutionise the manufacturing, process and, indeed, any other networked or machine-based industries. In fact AI-driven procedures are already making a difference across a number of industries, with companies such as Presenso and Predikto already providing AI-based analytical solutions for maintenance operations. Predictive maintenance is a perfect illustration for AI-based systems, as it can leverage a relatively small number of simple but incredibly informative data sets and then use them to predict and provide remedial actions. With the advent of the Industrial Internet of Things (IIoT) and, as a result, Big Data, coupled to an almost exponential expansion in the number of data-providing end points or nodes, this type of capability will become more prevalent, powerful, informative and effective. However, even a single simple manufacturing cell can generate in excess of 50 […]