商业智能：术语商业智能 (BI) 暗指用于收集、集成、检查和引入商业数据的进步、应用和磨练。 Commerce Insights 的目的是支持卓越的贸易选择。基本上，Trade Insights 框架是数据驱动的决策支持系统 (DSS)。商业智能现在不时与简报、报告和查询工具以及官方数据框架进行交易。
商业智能框架提供真实的、当前的和有先见之明的商业运营，最常用的是利用已组装到信息库或信息商店中的信息，有时还使用运营信息。
机器学习
机器学习是一种利用可以巧妙制造机器的补充，这意味着它们可以根据自己的主张做出选择、对事物进行分类、预测事物、根据您的喜好开出处方。
使机器(算法)精明，以便他们可以做出明智的选择。
下表列出了商业智能和机器学习之间的差异：
| Business Intelligence | Machine Learning |
|---|---|
| Functions like systematic to handle commerce within the desired path. | Enables the machine to memorize from existing information |
| Recognizes commerce opportunities. | Data based learning and choice making frameworks are created |
| Changes over raw information to valuable information. | Deploys data mining strategies to create models for figure |
| Non-dependent on an algorithm and depends on skill. | Relies tremendously on algorithms |
| Google Analytics uses Business Intelligence | Amazon recommendations uses machine learning |
| BI could be a brilliant concept for organizations to create utilize of data in a shrewd way. | Machine Learning (ML) capacities as per the phrasing. Its usefulness is more like making the frameworks get it without any unequivocal programming. |