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Agile Modeling, Agile Software Development, and Extreme Programming

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.

How to Measure the Purchase Intention

The Foundations and History of Artificial Intelligence

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.

Comment on Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence

There is widespread discussion regarding the impact of machines on employment. In some sense, the discussion mirrors a longstanding literature on the impact of the accumulation of capital equipment on employment; specifi cally, whether capital and labor are substitutes or complements. But the recent discussion is motivated by the integration of software with hardware and whether machines might also be involved in mental activities such as problem solving (similarly to how computers and software have played a role in such activities).

What Should Businesses Know Before Launching a New Product?

Maintaining Project Networks in Automated Artificial Intelligence Planning

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.

Digital Procurement Strategy

Procurement is an essential part of any business, but with the advancement of technology, it has undergone a significant transformation. Digital procurement has emerged as a game-changer in the world of procurement, and it's not just about buying products online. It encompasses all aspects of the procurement process that use digital technologies to optimize efficiency and effectiveness. In this article, we'll explore what digital procurement is, its benefits for businesses, how to create a digital procurement strategy that works for you, and some challenges you might face along the way.

Is Affiliate Marketing a Digital Marketing? Why?

Digital marketing is a combination of different strategies that help companies offer their products & services to the target audience. While traditional marketing still holds its place by billboards, distributing handouts, promoting on television and newspaper, etc., the digital marketing has opened-up new gates to market the products and services quicker, reaching out to vast customer base, and providing measurable insights of the marketing campaign.

The Future of Content Marketing: Predictions for 2025 and Beyond