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Multidimensional Modeling for Social Business Intelligence

In this paper, we describe the concept of social business intelligence (SBI) in order to describe its scope and aim. The applicability of SBI was explained, followed by an outline of its benefits and drawbacks. Moreover, we discuss topics as the main component of a topic hierarchy and outline its challenges. Afterwards, we introduce a reference architecture for SBI that has been formulated based on the core concepts outlined above. We illustrate the utilization of our proposed architecture by describing two particular implementations specific to query performances and to our meta-star approach. Finally, some experimental results are presented for topic queries within our system as well as for various query executions performed with different volumes of textual data available for aggregation in a real context (Filipino auctioning sites).

How Would You Define Artificial Intelligence?

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.

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.

Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence

In order to promote the application of ethical principles and values in developing and implementing artificial intelligence systems, we often encounter conflicting opinions from different parts of the organization with solutions that may lead to inappropriate solutions, causing unclear effects on the future of enterprises. This article by Anton Korinek highlights some tensions between economic philosophy and ethics, as well as approaches for solving such conflicts by presenting a series of five challenges.

How to Optimize Your Mobile Social Media Advertising

Marketing and Company Reputation: The Best Strategies to Use.

The way you brand your company, craft your website, and present yourself on social media can shape the public's perception of who you are and how you're viewed in the business world. This is why each detail matters to your success—as it all matters to help you build a brand that resonates with customers. Today, with more channels and outlets for customers to interact with your company—both positively and negatively—brand reputation is important to all business success, regardless if you run a large-scale corporation or have your own side hustle. Reputation marketing focuses on developing and amplifying positive brand content to use your reputation as a promotional asset in marketing campaigns. Reputation is about acquiring and amplifying positive brand content for the purpose of acquiring new leads, but also to bolster existing relationships and strengthen current market positions It is an emerging field that combines elements of brand marketing and reputation management. In this fast-paced world, companies struggle to gain recognition and keep up with the competition. Brand reputation management helps establish a positive image of your company within the marketplace by communicating your value proposition in a way that reflects the values that are important to your customers and stakeholders.

Why Work-Life Balance Doesn’t Work?

The Role of Micro Content in Content Marketing Campaigns and When to Use it

Creating a successful content marketing strategy starts with understanding how customers are responding to content when they are looking for information. It involves using types of content that best resonate with your audience at key points in the customer journey.\When you need to create many different pieces, like social posts, video, long-form, short-form, and advertising copy, you can adapt your strategy to meet your goals. Each social platform has a different design and tone, so it’s important to do the research before creating anything specific.

The Benefits and Challenges of Agile Methodology

Agile project management is one of the most popular approaches to project management today. Agile project management has been of great use to many project managers because of its flexibility, evolutionary nature and adaptability to changing environments. Agile is a development methodology that encompasses flexible, incremental and iterative approaches to software development. It focuses on building minimum functionality and quality into each iteration and striving as much as possible to achieve continuous improvements in the process.