Many process manufacturing owner-operators in this next phase of a digital shift have engaged in technology pilots to explore options for reducing costs, meeting regulatory compliance, and/or increasing overall equipment effectiveness (OEE). Despite this transformation, the adoption of advanced analytics tools still presents certain challenges. The extensive and complicated tooling
Where do I get started with data-driven engineering? How can the 3 I’s of data-driven engineering help me get off to a running start? How can I avoid the common pitfalls of data-driven engineering? What are the 3 I’s? The 3 I’s of data-driven engineering are insights, indicators and investments.
What’s the most misunderstood thing about “Big Data”? In my experience, corralling data is harder than people perceive and analyzing is easier than most people perceive. Not that either is easy at all, just relative to each other. With corralling, if there’s any interruption at the front end, it quickly
19-21 December, 2014- 17th IEEE International Conference on Computational Science and Engineering, Chengdu, China
The Computational Science and Engineering area has earned prominence through advances in electronic and integrated technologies beginning in the 1940s. Current times are very exciting and the years to come will witness a proliferation in the use of various advanced computing systems. It is increasingly becoming an emerging and promising