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Azure Resource Flow Chart Flowchart Examples Announcing Splunk Enterprise In Microsoft

Azure Resource Flow Chart Flowchart Examples Announcing Splunk Enterprise In Microsoft Automation Resources Api

By Gabrielle Button at October 21 2018 03:32:25

For a technical writer a flowchart can be a very useful tool to illustrate various operations and processes. Before you start your next project, see if you can illustrate the process via a flowchart. It will make life easier for you and your manager or client. The end result will be a better project which is good for your target audience. Note: Microsoft Visio is a good software for creating flowcharts. If you can write a simple sentence in English and organize your thoughts then technical writing may be a rewarding field. You can easily make it a second income stream in your spare time.

Process definitions are high level descriptions instead of rigid workflows : Processes can only be defined up to a certain level of detail, and it is difficult to provide low level work instructions or to automate decisions. Because they cannot be formalised in detail, process simulation is rarely possible. Decisions are highly subjective and too complex to be expressed in a formal language, as they are taken based on intuition and not on rigid business rules.

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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.

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.

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