With big data analysis and AI techniques, can we think some of traditional OR techniques dying?
Please see the following articles concerning your question:
McAfee, A., Brynjolfsson, E., & Davenport, T. H. (2012). Big data: the management revolution. Harvard business review, 90(10), 60-68.
Picciano, A. G. (2012). The evolution of big data and learning analytics in American higher education. Journal of Asynchronous Learning Networks, 16(3), 9-20.
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77-84.
OR algorithms' known will be adapted to the Big data problem, or simply applied directly!
I don't this Operational Research algorithms would end up with big data technologies and AI. Even in AI problems, OR algorithms can be use for optimizing the outputs.
No, Traditional Or techniques can be used with AI techniques to improve the quality of AI techniques.
Would argue that it will cause an evolution but not a cessation. You might be interested in the link/talk @ https://www.ted.com/talks/tricia_wang_the_human_insights_missing_from_big_data
No techniques are not dying because traditinal methods are universal that will remain.
If hammer is not dying, then traditional OR is still surviving. The core idea behind OR is more important for one to develop novel ideas, algorithms.
Traditional OR is not from data or big data, therefore, my short article "intelligence without data" (you can get at RG) is useful for understanding OR without data or big data.
The optimization behind OR is important for applying OR, because everyone like the optimal method, algorithm, solutions, and development direction, etc., This is similar to intelligent or smart ones.
- Badges
- Science topic
- Similar topics
- Computer Science and Engineering
- Artificial Intelligence