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Product Market Fit - What, When and How

Finding out if your startup has product-market fit — that is, if you have validated that there’s a market for your product and people will pay money for it — sounds like something you have to do later in the process, when your business is already well on its way. But finding out whether your startup has PMF is important because it means you can justify investing resources during the next stage of growth.

How to create a landing page for recruitment for free

How to prevent the fake respondents answering the fake response for online research

The most common issues of online research is fake respondents give fake responses.

Online research is cheap and fast which helps researcher to gain insight quickly. However, beside the good points, online research has also many disadvantages, which make researchers hesitate to use it.

An Analysis of the Concept of Artificial Intelligence in Relation to Business

AI is the future of machine learning and data analytics. It will allow companies to make better decisions and better utilize their data. Learn how you can harness the power of AI to improve your company’s business by visiting the w3future technology center and applying for a free workshop that will help you use machine learning and AI to advance your career path or learn more about this emerging technology. The application of artificial intelligence is not confined to using it to automate manual processes. AI and machine learning can do much more than simply replace jobs with their machines. They are able to perform tasks that were previously performed by humans and, in some cases, improve upon the value they provide us.AI has become the buzzword of most business and technology leaders. But what exactly is it, and how can companies harness its benefits? In this guide, we’ll discuss why artificial intelligence is beneficial for businesses and provide some use cases in which AI, machine learning, or big data can be applied.

What is the Pillar Content and How to Use it to Grow Sales

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).