While there are many claims for the successful use of extreme programming (XP) and agile modeling (AM), and the proponents can often be vocal in the extreme regarding their benefits, research evidence supporting these claims is lacking. Currently, the only research appearing to investigate the phenomenon consists of a small number of case studies and experience reports that promote the success of XP in development environments. The field of XP/Agile has seen tremendous growth since the early 2000s, and many people have begun using the practices in their organizations. However, very little research into XP/AM has been conducted. As such, there are few case studies to assist in understanding the practices. This article reviews existing research related to XP/Agile, recommending new areas that could benefit from further study. Since nearly all empirical XP research is on pairs programming, a closer look into other core practices would be beneficial. It might also be possible to group related concepts together for study purposes. Finally, much has been said about how XP can simply be repackaged or carried over from previous practice ideas which need further investigation.
Read more ...International Marketing is a strategic decision that involves developing a marketing mix strategy based on the characteristics of a potential foreign market. In simpler terms, it is how organizations should design and convey their messages if they want to sell their goods and services in a foreign market. Cultural differences can be very powerful in determining attitudes, beliefs, behaviour and attitudes towards brands, products and service which has significant impact on the performance of any organization trying to gain a foothold in international markets. International business is important to ensure that multinational companies expand their markets and penetrate new markets. Selling products in different countries requires different strategies. For example, if a company plans to sell its products in Australia, it must understand the cultural environment there before selling its product. Although the culture may be similar to other countries, there are still many differences in how they perform certain actions that can create great deal of difference when selling their products in these locales.
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Read more ...Artificial Intelligence (AI) is the simulation of human behavior and cognition in a machine. This is not a new word and not a new technology for researchers. It has been observed that it was one of the oldest science on earth, even there are the myths of Mechanical men in Ancient Greek and Egyptian Myths. Now AI has evolved to be much more advanced and a lot of time is spent on research for making AI work on a high level. AI is not just about programs and computers but it’s a complex science that involves many different disciplines like computer science, math, statistics etc.
Read more ...Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. Since the development of the Digital Computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing Chess. Some claim that artificial intelligence is on the verge of becoming a reality in the form of "thinking machines". Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines and voice or handwriting recognition.
Read more ...AI and Machine Learning is the most recent development in data science. It automatically discover patterns, learn from signals, and make predictions with very little human input. Unlike previous AI-related technologies, which were used primarily for military applications, this trend will be a significant business application in project management. Artificial intelligence is no longer confined to cutting-edge IT and technology applications. AI has already begun to make inroads into more traditional settings to augment or replace tasks traditionally performed by humans, including project managers. AI is already being used for administrative tasks such as maintaining registers and logs, automating meeting preparation such as room booking, emailing invitations, agenda drafting, and meeting minuting.
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