Big data is making tremendous impacts in the world globally. With modern humans’ hunger for results from data being collected on a daily basis, big data has become of the rising fields pushing the world into the fourth industrial revolution. But even the best scientist are relying on tools in decoding volumes of massive data. […]
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Economists and scientists alike are warning that in this new decade, artificial intelligence will be replacing many humans in the labour market. In a new research carried out by economists at MIT and Boston University, they argue that at least 2 million more human jobs will be replaced by robots and AI in the next
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That artificial intelligence will play a vital role in the operations of all aspects of human interaction in the nearest future is undeniable. With humans’ history of constantly developing and reinvent ourselves, from the ancient Roman aqueduct to make water faster to millennials’ quest for faster internet, it has become only clearer that the future
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In line with its continued efforts to support the sub-Saharan Africa region and the African continent at large, Facebook recently announced its plans to open a new office in Lagos, Nigeria. This ultra-modern office will be Facebook’s second workspace in Africa after the global tech company opened its first office five years ago in Johannesburg,
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Data Science has been hailed as the “sexiest job of 21st Century” by Harvard Business Review. But what makes Data Science so important? Why are Data Scientists some of the highly paid professionals? And most importantly, why learn Data Science? In this blog post, we will walk through some of the main reasons as to why
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There is no industry in the world today that does not use data. As such, data science has become a fuel for industries. There are various industries like banking, finance, manufacturing, transport, e-commerce, education, etc. that use data science. As a result, there are several Data Science Applications related to it. We will look at
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Artificial Intelligence (AI) and Machine Learning (ML) projects have been near the top of the investment priority list for enterprises in the past five years. According to Gartner, 14% of organizations have already adopted AI, and 48% more are considering adoption by 2020. The reasons for the rapid adoption and continued interest in AI and ML
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Artificial intelligence has accrued some very bad reputation over the years. For some, the term AI has become synonymous with the mass unemployment, mass slavery, and mass extermination of humans by robots. For others, AI often conjures dystopian images of Terminator, The Matrix, Hal 9000 from 2001: A Space Odyssey, and warning tweets from Elon Musk. But many experts believe
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Why hire a Data Scientist for your team? The results of Data Science are already working their magic in our day-to-day lives. Take for instance the Internet, there are more websites than one can imagine – a single google search shows 1 billion results which is a figure that is actually hard to imagine. Every time
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In 2016, the World Economic Forum claimed we are experiencing the fourth wave of the Industrial Revolution: automation using cyber-physical systems. Key elements of this wave include machine intelligence, blockchain-based decentralized governance, and genome editing. As has been the case with previous waves, these technologies reduce the need for human labor but pose new ethical
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