By Gabrielle Button at October 09 2018 03:24:05
Tables : When your data doesn't clearly show a trend, use a table. You may have this data in Excel, and can even link to the Excel file. Quotations : Quotes are very powerful when they come from authorities or well-known individuals. In a persuasive presentation, you can use testimonials from other customers, for example. Stories : Stories are powerful when they support your message. They can be personal, related to current events, examples from other customers, and so on. They can be full-blown situations, or simple examples. Collect stories as you hear them and keep them in a file for use later.
In mathematics, method of solving a problem by repeatedly using a simpler computational method. A basic example is the process of long division in arithmetic. The term algorithm is now applied to many kinds of problem solving that employ a mechanical sequence of steps, as in setting up a computer program. The sequence may be displayed in the form of a flowchart in order to make it easier to follow. As with algorithms used in arithmetic, algorithms for computers can range from simple to highly complex.
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.
The possibility of developing some such artifact has intrigued human beings since ancient times. With the growth of modern science, the search for AI has taken two major directions: psychological and physiological research into the nature of human thought, and the technological development of increasingly sophisticated computing systems. In the latter sense, the term AI has been applied to computer systems and programs capable of performing tasks more complex than straightforward programming, although still far from the realm of actual thought. The most important fields of research in this area are information processing, pattern recognition, game-playing computers, and applied fields such as medical diagnosis.