AI & AUTOMATION foundation for modelling processes and developing the analytics that are game changers in very specific applications .
Most importantly , get started with analytics . “ Trystorm ” some projects ; put your intuitive ideas to the test and put data and analytics behind them . Don ’ t wait to become a data science expert . That isn ’ t necessary . Leverage proven easy-to-use industrial analytics tools fueled with your domain expertise . That ’ s going to drive big improvements quickly .
PL : Businesses – including manufacturers - tend to assess digital projects with a focus on either customer , supply chain , internal efficiency or people - those are the four main drivers for any foray into digital . These are often organic and arise from an ongoing ‘ how can we do better ’ attitude . This has been accelerated by concerns of competition as companies are now fearful of being left behind competition and disruptive entrants . There is palpable fear around being digitally relevant and this is promoting a lot of investment .
However , it is worth noting that many manufacturers have already invested heavily in technology ( even before COVID forced a move to digitalisation ) so the first point of definition is to align AI and Big Data to existing technology . When businesses assess their technology in use today , they need to bear in mind not only a shortterm perspective of will the technology handle current processes but also does it provide a platform for the future ? This latter perspective is built on data . Both elements are equally important but the second “ platform perspective ” demands big data . It is no longer enough to choose a platform that just supports / tweaks the ongoing processes – there has to be future capabilities built in .
There is then the need to ensure that this technology is deployed in the best way possible . This necessitates an open , cloudbased application landscape so a business can seize new opportunities such as Big Data or AI without having to go through a cumbersome integration and bolt on process . This makes an organisation more agile , focusing on the creative application of the technology to the needs of the business , such as identifying new opportunities for revenue . manufacturingglobal . com 61