The ability to connect industrial assets and machines using networks existed for a long time before the Industrial Internet of Things started to gain popularity. But what we’ve seen in the last five years is the emergence, and actually the need, for advanced analytic solutions that deliver a next-generation level of integration. It’s the critical component, when applied to machine and process data, which will enable more intelligent manufacturing operations and the push toward transformational business outcomes.
Data analytics has already become one of the fastest growing and lucrative new professions in industry, and it will continue to be a key focus of attention as it looks to combine skills in mathematics, computer science and engineering in ways that address the converging needs of IT and OT technologies within manufacturing companies.
Looking at new analytics architectures
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