#business #machinelearning #datascience #operationsresearch So, what do you think can be done to increase the awareness of OR in the mainstream media and encourage more investment in OR research and development? OR has been instrumental in solving some of the most challenging problems in logistics, transportation, healthcare, finance, and manufacturing, such as inventory management, resource allocation, and scheduling.Īs a professional in the field of data science, it's essential to recognize the value of OR and its contributions to business operations and decision-making. However, as businesses become more data-driven and seek to optimize their processes, OR's importance cannot be overlooked. ML, on the other hand, can be built using readily available libraries and tools, making it more accessible to a broader audience. I believe the answer lies in the complexity of OR models, which require specialized expertise to develop and implement. ![]() So why hasn't OR received the same level of mainstream attention as ML? While machine learning (ML) has dominated headlines in recent years, OR has been quietly optimizing business operations for decades. Have you ever heard of operations research (OR)? □
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