Motivation
The companies have unplanned future leave from time to time.
In the IT world we use Agile, Spring Planning, task estimations and calculation of velocity.
The velocity allows us to predict future capacity effect based on past experience.
The Idea: to have the same possibility of prediction for non-IT business.
Plan
divide existing data per periods (e.g. per quater)
collect this data in this module
learn the IA networks be by the collected data in the past
predict the next period in the future
Details
We split the data per sessions, it allows to learn AI by the data session and avoid any effect to prediction from the data from another session
Every session will have independe authoritharion, it allows to use the application by multiple 3rd party applications with minimum risks for data leak
Motivation The companies have unplanned future leave from time to time. In the IT world we use Agile, Spring Planning, task estimations and calculation of velocity. The velocity allows us to predict future capacity effect based on past experience.
The Idea: to have the same possibility of prediction for non-IT business.
Plan
Details