We found 3 results that contain "automatic"

The concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Management theories help organizations to focus, communicate, and evolve. Using management theory in the workplace allows leadership to focus on their main goals. When a management style or theory is implemented, it automatically streamlines the top priorities for the organization. Management theory also allows us to better communicate with people we work with which in turn allows us to work more efficiently. By understanding management theory, basic assumptions about management styles and goals can be assumed and can save time during daily interactions and meetings within an organization.

Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of a human. While the term dates back over fifty years,[1] there is some current indecision as to the scope of the term. Monash Research's Curt Monash defines it as "data that was produced entirely by machines OR data that is more about observing humans than recording their choices."[2] Meanwhile, Daniel Abadi, CS Professor at Yale, proposes a narrower definition, "Machine-generated data is data that is generated as a result of a decision of an independent computational agent or a measurement of an event that is not caused by a human action."[3] Regardless of definition differences, both exclude data manually entered by a person.[4] Machine-generated data crosses all industry sectors. Often and increasingly, humans are unaware their actions are generating the data.[