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The role of talent management

• The role of talent management in supporting the organization’s strategic objectives • The use of competency models to create alignment of talent needs with training and development goals • The identification of individual competencies/strengths and weaknesses to create a development action plan • Creating learning and development experiences over time to enhance long-term development Steps to complete the case analysis development plan: 1. Conduct a SWOT analysis to identify organizational and industry strategic issues. The SWOT Analysis i used is attached. Consider: What strengths, weaknesses, opportunities and threats exist in maintaining a successful career in your target organization or in today’s business environment? 2. Based upon your SWOT analysis, draft a competency model for your organization or intended work place as you develop your career. Note if ‌‍‍‍‌‍‍‌‍‌‌‍‍‍‌‍‌‌‌‍there are any differences between current vs. future competency requirements. 3. Using the competency model as a guide, identify a job candidate in your organization / case that you believe is “promotable” to the next level of challenge in the organization. (Imagine you are their supervisor) Conduct a “gap” analysis. Note what strengths and weaknesses they may have and what attributes may contribute to their success. Consider: Identify strengths vs. weaknesses to help manage via development process. (Eg, Has operational experiences but not management experience; Has introverted personality holding them back.) 4. Prepare a “development plan” that outlines behavioral and targeted development goals for the individual (or yourself). Note that you are including resource needs as well as a time-frame for accountability. Development Plan.docx Consider: Do they (or you) need some developmental experiences you can suggest? The templates can be used to structure your process as well as provide documentation of your final work product. A cover sheet that summarizes your findings/recommendations should be included as an executive summary. Complete your final write-up which may be turned in using the template format to type in your work. i Attached the PowerPoint t‌‍‍‍‌‍‍‌‍‌‌‍‍‍‌‍‌‌‌‍hat allows you to fill in

Sample Solution

ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor[15]. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl>

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