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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).

The Importance of Singularity and Artificial Intelligence to People

Should you feel bad about pulling the plug on a robot or switch off an artificial intelligence algorithm? Not for the moment. But how about when our computers become as smart—or smarter—than us? In the case of robots and machines, the answer is no: We don’t want to live in a world where we outsource our thinking to computers or robots. And with AI algorithms, we need to make sure that our systems are built with safety and security in mind This paper examines three interrelated questions concerning the impact that artificial general intelligence will have on human-robot interaction. First, how can we create robots that act as good partners with humans? Second, what forms of existence should be afforded to artificial intellects? And third, how do we ensure that such entities are treated with dignity and respect? The paper suggests a framework for examining AGI ethics that believes that humans must be active participants in any future form of intelligent life and create guidelines for development and deployment of AI agents. Recently published in Guide to Deep Learning Basics, a collection of papers and treatises that explore various historic, scientific, and philosophical aspects of artificial intelligence. Borna Jalsenjak, scientist at Zagreb School of Economics and Management discusses super-intelligent AI and analogies between biological and artificial life in his essay titled “The Artificial Intelligence Singularity: What It Is and What It Is Not.”

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Waterfall and Agile Methodologies: Advantages and Disadvantages

The history of waterfall and agile methodologies is a long one. The Agile movement was born out of the software world in Japan in the late 1980s, but only really gained momentum among software developers in the west during the late 1990’s. While both methodologies have a lot to offer, they are so different that many people feel they are at odds with each other. For the past decade, methodologies have been widely used in industry as a way to help companies analyze, plan and execute their projects. However, there are several differences between process-driven and user-centered methods that can influence your decision on which methodology is best suited for your project. In this article, we will explore these differences – what they mean and how they can impact the success of your project. Waterfall projects are linear, sequential and well-defined models that provide the necessary guidance and structure for project definition. This process makes it easy to gather stakeholder feedback, identify issues and concerns, develop a plan and define requirements before development begins. Agile is a kind of software development process that requires a focus on quality over quantity. It typically uses iterative, incremental tasks and processes in combination with collaboration among parties at all levels of the project. A key feature of Agile is its utilization of feedback, which enables continuous improvement throughout the product lifecycle.

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Research Methodology on Agile Project Management

How to do market segmentation

Businesses cannot reach all customers. Instead, they need to identify the market segments they can effectively serve. This requires a deep understanding of consumer behavior and strategic thinking to find the uniqueness and difference of each segment. Identifying and meeting these segments is key to marketing success. Market segmentation is an excellent way to create a market for your business. It allows you to take advantage of different target populations and identify those who are most likely to give your company its best chance at success. Marketing strategies that involve segmentation can help a business reach its full potential.

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