By Gabrielle Button at October 21 2018 11:17:15
All process instances are executed in a very similar way and it is easy to draw a flowchart detailing the sequence in which tasks are executed. It is also possible to formalize the business rules that guide decisions, normally based on the evaluation of some process variables. But recently other kinds of processes have caught the attention of process management specialists. They are known as knowledge processes, or knowledge-based processes. Knowledge processes can be defined as "high added value processes in which the achievement of goals is highly dependent on the skills, knowledge and experience of the people carrying them out". Some examples could be management, R&D, or new product development processes.
After deciding on the points you want to make in your upcoming presentation, you need to figure out how to support those points. For example, if your point is that your company has the largest market share in the industry, quote the research (hopefully done by a third party) that says so. This applies to both business presentations and educational presentations. The support you provide for your message is essential for an effective presentation.
Diagrams : A diagram can show a process, hierarchy, or other relationships. You can use AutoShapes and arrows, the flowchart shapes with connectors (in the Lines category in PowerPoint 2007; otherwise in the Connectors category), or the SmartArt feature of 2007. Charts/Graphs : Charts (also known as graphs) visually display data, especially data showing a trend. Use only the data that supports your point, not all the data in the Excel spreadsheet where you got the data. If the data is too complex, it won't be comprehensible on a slide. What to do? Print it out and give it to the audience as a handout.
Current research in information processing deals with programs that enable a computer to understand written or spoken information and to produce summaries, answer specific questions, or redistribute information to users interested in specific areas of this information. Essential to such programs is the ability of the system to generate grammatically correct sentences and to establish linkages between words, ideas, and associations with other ideas. Research has shown that whereas the logic of language structure-its syntax-submits to programming, the problem of meaning, or semantics, lies far deeper, in the direction of true AI.