A world that is perfect "The wise men understood that this natural world is only an image and a copy of paradise. The existence of this world is simply a guarantee that there exists a world that is perfect." Paulo Coelho, The Alchemist simulation
Data Farming A Research Paper onlinelibrary.wiley.com Miners seek valuable nuggets of ore buried in the earth, but have no control over what is out there or how hard it is to extract the nuggets from their surroundings. ... Similarly, data miners seek to uncover valuable nuggets of information buried within massive amounts of data. Farmers cultivate the land to maximize their yield. They manipulate the environment to their advantage using irrigation, pest control, crop rotation, fertilizer, and more. Small-scale designed experiments let them determine whether these treatments are effective. Similarly, data farmers manipulate simulation models to their advantage, using large-scale designed experimentation to grow data from their models in a manner that easily lets them extract useful information. An information service society farmingdatasimulation
Why we stopped breaking down stories into tasks An Article by Adam Silver adamsilver.io The Scrum process says to break down stories into tasks to make estimation easier, encourage collaboration and to be able to show more granular progress during a sprint. But after a few sprints, we decided to do the next sprint without creating tasks. As a result we drastically increased our velocity and never went back. Here I'll jot down some of the reasons we decided to do this: Breaking down stories into tasks is time consuming The tasks we came up with invariably would change as we worked on the stories Tasks are repetitive Tasks were often carried out in parallel Our estimates didn't improve It decluttered our task board It encouraged collaboration throughout the sprint While we started our process by following Scrum to the letter, we soon realised that breaking down stories into tasks was something that wasn’t worthwhile for us. In the end we realised that it was overplanning and poor use of our time. In the end we used that time to get on with the work and deliver at a significantly faster pace. Why We Don't Do Daily Stand-Ups at Supercede agile