By Kate Le Grand at November 03 2018 06:27:34
Define the starting point of the process of project. This is the first step that starts of the process. For example, the first step could be project planning or research. Write down the starting point and the end result. Both of these should be in boxes with some space in between them. Adjust this space according to the number of steps and sub-steps involved in the process. Draw an arrow from the starting point to the end result. Along this arrow, list the various steps in order that are needed to go from the starting point to the end result. Include any sub-steps as needed.
In the last years some organizations have emerged with the aim of creating professional communities around specific disciplines such as Software Development (SEI, ESI, etc...), Project Management (PMI), Business Process Management (BPMI), IT Service Management (ITSMF), etc... One of the objectives of these groups is to develop a body of knowledge that compiles the discipline's best practices in the form of reference frameworks, methodologies and maturity models. These assets should be considered by any organization interested in knowledge process management.
How to create a flowchart When you're working on a complex project, creating the flowchart itself may be a time-consuming task. Here are six simple steps you can follow to create even complex flowcharts: Start by defining the end result of the process or project. The end result could be anything such as completing a user manual, writing a complex software process, installing a new part, or performing a test. List the various steps involved to achieve the end result. This will take some research. In complex processes, each step could have a series of sub steps. The steps involved to create a user manual could be: a. Meet with SME ; b. Research existing documentation ; c. Videotape the procedure ; d. Take photographs ; e. Create illustrations ; f. Develop the user guide ; g. Test the user guide ; h. Make changes/adjustments ; i. Deliver final product.
Many scientists remain doubtful that true AI can ever be developed. The operation of the human mind is still little understood, and computer design may remain essentially incapable of analogously duplicating those unknown, complex processes. Various routes are being used in the effort to reach the goal of true AI. One approach is to apply the concept of parallel processing-interlinked and concurrent computer operations. Another is to create networks of experimental computer chips, called silicon neurons, that mimic data-processing functions of brain cells. Using analog technology, the transistors in these chips emulate nerve-cell membranes in order to operate at the speed of neurons.