> For the complete documentation index, see [llms.txt](https://juliafaws-andrew-organization.gitbook.io/untitled/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://juliafaws-andrew-organization.gitbook.io/untitled/enables-people-to-rethink.md).

# Enables people to rethink

AI generally is undertaken [**Write for us technology**](https://www.webaudience.net/write-for-us/) in conjunction with machine learning and data analytics. Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it to analyze specific issues.

All that is required are data that are sufficiently robust that algorithms can discern useful patterns. Data can come in the form of digital information, satellite imagery, visual information, text, or unstructured data.

In business, artificial intelligence has a wide range of uses. In fact, most of us interact with AI in some form or another on a daily basis.

From the mundane to the breathtaking, artificial intelligence is already disrupting virtually every business process in every industry. As AI technologies proliferate, they are becoming imperative to maintain a competitive edge.

Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions.