At an industrial scale, the amount of data just described can quickly become overwhelming since there are often thousands of sensors and instruments, with each one sending their individual streams that can combine into a torrent. This is operational technology (OT) data, but we depend on information technology (IT) techniques to put it to work, hence the IT/OT convergence. The two sides must be blended together if the data is to become useful.
Read moreDo You Know Your Role Models?
Before companies start their digital transformation journey, a good understanding of your current organizational culture is crucial for simple reasons. Learn why role models could be one of your most significant constraints for change.
Read morePlant Historian: Core of your Digital Transformation
The pace of digital transformation is accelerating, delivering benefits from increased profitability, reduced costs, and higher productivity. In his latest blog, Nick Cross examines how Exaquantum Plant Historian is enabling companies to generate growth from plant data and is at the forefront of digital transformation.
Read moreWhy do I need IIoT?
In his latest blog, Marcel considers the need for IIoT. With the perceived value to the customer including cost reduction and increased asset reliability, he questions whether this is enough to deploy such technologies and realize tangible benefits.
Read moreThe Lean and Mean Trap
In recent times, there has been a shift to transforming manufacturing and production facilities into lean and mean organizations, leading to a relatively small team responsible for production. In the manufacturing world, to achieve optimal outcomes, it is necessary to expand capacity, avoid downtime, and find ways to save money while maintaining safety. But is there such a thing as becoming too lean?
Read moreCan you Rationalize Risk?
In his latest blog, Marcel evaluates ‘The Commodity Trap’, and its relevance to the Digital Transformation journey. When faced with the understanding and application of Digital Transformation, most customers have never encountered such a complex and technical changes before. Can you rationalise risk?
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