The (legacy) recommendation table is static, the UI content is not prioritized or associated in any way to the operational data or KPI performance. To be valuable and actionable to customers, the recommendation content should be data-driven based on operational data.
The recommendation library is also not actively managed. Much of the content is GEK, engineering documents, industry articles & etc. which are changed, superseded and obsoleted over time. The recommendation library requires active management to maintain relevancy.
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