INTERNET OF THINGS AND HUMAN RESOURCE AGILITY IN TELECOMMUNICATION COMPANIES IN NIGERIA

Abstract

Today companies struggle with massive amounts of data they don’t know how to handle or even less, how to process. There is a demand for solutions able to process massive
amount of data in real-time and simultaneously draw its own conclusions. There is a need for dynamic technology that can manage, control and adapt different processes to sudden changes in the surroundings. Robots and algorithms have previously been able to perform tasks that are monotonous and static with poor abilities to adapt to alterations or changes. Previous technology has also lacked initiative. The capabilities of machine learning are challenging this truth. When training an intelligent algorithm, the code
eventually starts making its own assumptions about the sample data and can use these assumptions to adapt to new tasks or do alterations in the current task (LeCun, Bengio & Hinton, 2015)