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Internet of Things


What is coming to Industry 4.0?


Janus, the Roman god of new beginnings, is represented by a double-faced head, one facing the past and the other facing the future. Taking inspiration from this, manufacturers looking to accelerate their digital transformation in 2022 should also consider the impact of 2021. So, what technology should manufacturers be looking to adopt? Here, Johan Jonzon, co-founder and CMO of edge analytics pioneer Crosser, shares his insight on the digital technology to watch over the next year.


Research Group, 47 per cent of respondents expect a long-term change to the way we work. For many manufacturers, this change takes the form of an accelerated digital transformation. Raconteur predicts that by 2025, 463 exabytes


O 46


of data will be produced globally each day. That is a huge increase from 2020’s daily 2.5 exabytes. It is clear that data is going to explode over the next few years, so organisations need to be ready to unlock its value and adopt a data-driven mindset. For a successful digital transformation, manufacturers must consider how to use this data for improved decision making, better productivity and growth. So, what is coming next?


Living up TO THe Hype Hyperautomation was heralded as one of Gartner’s Tech Trends in 2021, but will it continue to in 2022? In theory, the concept of hyperautomation sounds relatively simple -


ne thing that is certain this year is that the pandemic- induced waves of disruption to operations are far from over. According to a survey conducted by Info-Tech


to automate as many processes as possible across an organisation. However, in practice, reaching a hyperautomated state is a slow- burning challenge. Contrary to traditional automation,


which focuses on individual processes, hyperautomation looks holistically at an organisation as a whole. It involves eliminating data silos and integrating business systems. With robotic process automation (RPA) central to the process, hyperautomation also involves artificial intelligence (AI), process mining and streaming analytics. By integrating each of these technologies in unison, manufacturers are able to achieve end-to-end automation of their business for increased efficiency. However, unlike some other digital


transformation trends, hyperautomation is not something that can be implemented quickly. Connecting data from every system within a business, including the factory floor, IT systems, sales applications and supply chain management tools is challenging. Each of these systems may operate on different protocols, produce data in different formats, and generate values at different time intervals, which all needs to be unified.


With the complexity of hyperautomation


clear, it is likely that throughout 2022 we will see manufacturers continue to implement their hyperautomation strategy and pioneers will start to unlock its value. In fact, Gartner predicts that 85 per cent of hyperautomation adopters will continue their efforts and investment in 2022.


eLiMinaTing COding COnfuSiOn Low-code software has been around since the 1980s, but a combination of factors will lead to further growth in 2022. It eliminates the need for vast coding knowledge within a business. Instead, it takes a visual approach and uses functions like ‘drag and drop’ to allow non-developers to visually create the process that they are trying to create without the for code. There is a dual challenge facing all


industries today that will mean we see the rise of low-code software in 2022. Skills shortages have been a problem for most sectors globally for a few years now — according to McKinsey, 87 per cent of companies either already have a shortage of digital skills or are anticipating one in the next few years.


May 2022 Instrumentation Monthly


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